Pre-Upgrade CPU ASUS System Product Name
Geekbench AI Score
3003
Single Precision Score
1180
Half Precision Score
3794
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | babernathy |
| Upload Date | July 05 2025 09:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X |
| 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 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2248
418.1 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
96% |
3683
687.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
4998
81.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8834
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4926
5.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
10712
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (Q)
|
58% |
2774
303.1 IPS |
|
|
Face Detection (SP)
|
100% |
4340
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
1105
13.1 IPS |
|
|
Face Detection (Q)
|
96% |
7026
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7286
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1797
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8945
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16557
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13865
17.8 IPS |
|
|
Style Transfer (Q)
|
87% |
15083
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1728
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1285
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
904
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
850
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
431
575.7 IPS |
|
|
Text Classification (Q)
|
97% |
763
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1416
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
1730
33.4 IPS |
