ASUS System Product Name
Geekbench AI Score
2863
Single Precision Score
1049
Half Precision Score
3551
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gmn17 |
| Upload Date | September 14 2025 06:25 AM |
| Views | 8 |
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% |
2184
406.2 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.8 IPS |
|
|
Image Classification (Q)
|
96% |
3685
688.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
5393
87.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12604
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5989
6.99 IPS |
|
|
Pose Estimation (Q)
|
86% |
12864
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
2224
176.4 IPS |
|
|
Object Detection (HP)
|
100% |
472
37.4 IPS |
|
|
Object Detection (Q)
|
58% |
2691
294.1 IPS |
|
|
Face Detection (SP)
|
100% |
4532
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
930
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
6820
81.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7567
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1731
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8853
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18823
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13941
17.9 IPS |
|
|
Style Transfer (Q)
|
87% |
17791
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
731
27.1 IPS |
|
|
Text Classification (SP)
|
100% |
576
768.5 IPS |
|
|
Text Classification (HP)
|
100% |
310
413.2 IPS |
|
|
Text Classification (Q)
|
97% |
411
551.0 IPS |
|
|
Machine Translation (SP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.97 IPS |
|
|
Machine Translation (Q)
|
68% |
1439
27.8 IPS |
