ASUS System Product Name
Geekbench AI Score
1866
Single Precision Score
459
Half Precision Score
2052
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | gmn17 |
| Upload Date | August 15 2024 10:40 PM |
| Views | 3 |
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 High Performance |
| 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% |
791
147.0 IPS |
|
|
Image Classification (HP)
|
100% |
85
15.8 IPS |
|
|
Image Classification (Q)
|
97% |
1559
291.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
116
1.88 IPS |
|
|
Image Segmentation (Q)
|
97% |
1636
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9602
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4695
5.48 IPS |
|
|
Pose Estimation (Q)
|
87% |
10101
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1194
94.7 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.64 IPS |
|
|
Object Detection (Q)
|
86% |
819
65.9 IPS |
|
|
Face Detection (SP)
|
100% |
1544
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
154
1.83 IPS |
|
|
Face Detection (Q)
|
96% |
2194
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4664
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
586
4.52 IPS |
|
|
Depth Estimation (Q)
|
76% |
4102
33.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17654
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12555
16.1 IPS |
|
|
Style Transfer (Q)
|
87% |
13462
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1307
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1290
47.8 IPS |
|
|
Text Classification (SP)
|
100% |
563
752.0 IPS |
|
|
Text Classification (HP)
|
100% |
263
350.5 IPS |
|
|
Text Classification (Q)
|
97% |
302
404.1 IPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (Q)
|
60% |
1331
29.7 IPS |
