Ryzen 9 5950X - PBO+DOCP - +0 MHz, Per-Core CO Attempt 5.28; Gigabyte Geforce 5070 Ti OC Gaming - Stock ASUS System Product Name
Geekbench AI Score
32949
Single Precision Score
55480
Half Precision Score
25421
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | BlueBoy3000 |
| Upload Date | January 11 2026 11:27 PM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13273
2.47 KIPS |
|
|
Image Classification (HP)
|
100% |
19139
3.56 KIPS |
|
|
Image Classification (Q)
|
100% |
11677
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24018
389.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
33833
548.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21464
349.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
181296
211.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
708931
827.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
163361
191.4 IPS |
|
|
Object Detection (SP)
|
100% |
17536
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
27608
2.19 KIPS |
|
|
Object Detection (Q)
|
86% |
14686
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
51595
613.1 IPS |
|
|
Face Detection (HP)
|
100% |
73571
874.2 IPS |
|
|
Face Detection (Q)
|
97% |
42565
507.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
88400
681.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
152790
1.18 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66431
530.5 IPS |
|
|
Style Transfer (SP)
|
100% |
323496
415.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1005323
1.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
270003
348.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46880
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74906
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36805
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3926
5.24 KIPS |
|
|
Text Classification (Q)
|
97% |
2219
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
6599
113.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6560
113.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3006
56.4 IPS |
