ASUS System Product Name
Geekbench AI Score
3116
Single Precision Score
1097
Half Precision Score
3585
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Luigi9212 |
| Upload Date | March 11 2025 03:33 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3970X |
| 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% |
2159
401.6 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
96% |
3494
652.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
2037
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12483
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5695
6.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
14503
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2344
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.1 IPS |
|
|
Object Detection (Q)
|
58% |
2561
279.8 IPS |
|
|
Face Detection (SP)
|
100% |
5002
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
1027
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
6907
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8959
69.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1802
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9960
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21087
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13379
17.2 IPS |
|
|
Style Transfer (Q)
|
87% |
21980
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1707
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1502
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1664
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
745
994.3 IPS |
|
|
Text Classification (HP)
|
100% |
365
487.6 IPS |
|
|
Text Classification (Q)
|
97% |
350
468.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (Q)
|
68% |
1509
29.2 IPS |
