ASUS System Product Name
Geekbench AI Score
2851
Single Precision Score
1046
Half Precision Score
3534
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gmn17 |
| Upload Date | June 30 2025 11:17 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3960X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3960X |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (HP)
|
100% |
383
71.3 IPS |
|
|
Image Classification (Q)
|
96% |
3511
655.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
5369
87.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12782
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5855
6.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
12730
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.6 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.7 IPS |
|
|
Object Detection (Q)
|
58% |
2692
294.1 IPS |
|
|
Face Detection (SP)
|
100% |
4623
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
910
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
6746
80.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7714
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1759
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8821
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18407
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14328
18.4 IPS |
|
|
Style Transfer (Q)
|
87% |
17538
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1009
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
729
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
547
730.7 IPS |
|
|
Text Classification (HP)
|
100% |
319
425.8 IPS |
|
|
Text Classification (Q)
|
97% |
435
582.9 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
68% |
1425
27.5 IPS |
