Ryzen 9 5950X - PBO+DOCP - +200 MHz, Per-Core CO OC 5.31; Gigabyte Geforce 5070 Ti OC Gaming - +435 MHz Core, +3000 MHz Memory, 116% Power ASUS System Product Name
Geekbench AI Score
35823
Single Precision Score
58742
Half Precision Score
27500
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BlueBoy3000 |
| Upload Date | January 26 2026 03:50 AM |
| Views | 5 |
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% |
14288
2.66 KIPS |
|
|
Image Classification (HP)
|
100% |
20161
3.75 KIPS |
|
|
Image Classification (Q)
|
100% |
12683
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25549
414.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
34883
565.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22849
371.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
204104
238.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
775156
904.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
181770
212.9 IPS |
|
|
Object Detection (SP)
|
100% |
19010
1.51 KIPS |
|
|
Object Detection (HP)
|
100% |
28843
2.29 KIPS |
|
|
Object Detection (Q)
|
86% |
15813
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
55756
662.5 IPS |
|
|
Face Detection (HP)
|
100% |
77530
921.2 IPS |
|
|
Face Detection (Q)
|
97% |
45437
541.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
97941
754.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
165482
1.27 KIPS |
|
|
Depth Estimation (Q)
|
78% |
73147
584.1 IPS |
|
|
Style Transfer (SP)
|
100% |
371713
477.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1091788
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
305754
394.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52109
1.92 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79984
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40314
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3469
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4119
5.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2341
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
6697
115.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6742
116.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3097
58.1 IPS |
