ASUS System Product Name
Geekbench AI Score
2390
Single Precision Score
915
Half Precision Score
3273
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | gmn17 |
| Upload Date | February 24 2026 01:55 AM |
| 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% |
1736
322.8 IPS |
|
|
Image Classification (HP)
|
100% |
344
63.9 IPS |
|
|
Image Classification (Q)
|
96% |
2954
551.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
4561
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10090
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4292
5.01 IPS |
|
|
Pose Estimation (Q)
|
86% |
11591
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1903
150.9 IPS |
|
|
Object Detection (HP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (Q)
|
58% |
2193
239.6 IPS |
|
|
Face Detection (SP)
|
100% |
3751
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
846
10.0 IPS |
|
|
Face Detection (Q)
|
96% |
5880
70.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5201
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1528
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7343
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14383
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10573
13.6 IPS |
|
|
Style Transfer (Q)
|
87% |
14128
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1283
47.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
874
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1182
43.8 IPS |
|
|
Text Classification (SP)
|
100% |
489
652.5 IPS |
|
|
Text Classification (HP)
|
100% |
288
384.1 IPS |
|
|
Text Classification (Q)
|
97% |
419
560.9 IPS |
|
|
Machine Translation (SP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (Q)
|
68% |
1365
26.4 IPS |
