ASUS System Product Name
Geekbench AI Score
6207
Single Precision Score
6125
Half Precision Score
6892
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Luigi9212 |
| Upload Date | March 11 2025 03:42 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3970X 32-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME ALPHA |
| Power Plan | Ultimative Leistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3970X |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3130
582.0 IPS |
|
|
Image Classification (HP)
|
100% |
3188
592.8 IPS |
|
|
Image Classification (Q)
|
100% |
4257
791.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3238
52.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3114
50.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8718
141.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19885
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19221
22.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
25457
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
3748
297.3 IPS |
|
|
Object Detection (HP)
|
100% |
3573
283.4 IPS |
|
|
Object Detection (Q)
|
87% |
5257
421.6 IPS |
|
|
Face Detection (SP)
|
100% |
8853
105.2 IPS |
|
|
Face Detection (HP)
|
100% |
8575
101.9 IPS |
|
|
Face Detection (Q)
|
97% |
19459
232.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11622
89.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11537
88.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
17648
139.3 IPS |
|
|
Style Transfer (SP)
|
100% |
47516
61.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48334
62.1 IPS |
|
|
Style Transfer (Q)
|
98% |
68912
88.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8030
296.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8146
300.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10404
385.4 IPS |
|
|
Text Classification (SP)
|
100% |
2052
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (Q)
|
91% |
147
198.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1347
23.2 IPS |
