Ryzen 9 5950X - PBO+DOCP - +200 MHz, Per-Core CO OC 5.32; Gigabyte Geforce 5070 Ti OC Gaming - +435 MHz Core, +3000 MHz Memory, 116% Power ASUS System Product Name
Geekbench AI Score
35863
Single Precision Score
58984
Half Precision Score
27609
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BlueBoy3000 |
| Upload Date | January 26 2026 04:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PRO (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14587
2.71 KIPS |
|
|
Image Classification (HP)
|
100% |
20814
3.87 KIPS |
|
|
Image Classification (Q)
|
100% |
12837
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25722
417.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
35080
568.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22681
368.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
204242
238.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
773624
902.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
184272
215.8 IPS |
|
|
Object Detection (SP)
|
100% |
18688
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
29029
2.30 KIPS |
|
|
Object Detection (Q)
|
86% |
15746
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
55847
663.6 IPS |
|
|
Face Detection (HP)
|
100% |
77620
922.3 IPS |
|
|
Face Detection (Q)
|
97% |
45657
544.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
97470
750.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
163157
1.26 KIPS |
|
|
Depth Estimation (Q)
|
78% |
73199
584.5 IPS |
|
|
Style Transfer (SP)
|
100% |
368397
473.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1085723
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
305620
394.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52182
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80048
2.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40362
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3485
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4145
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2358
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6739
116.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6814
117.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3134
58.8 IPS |
