ASUS System Product Name
Geekbench AI Score
2850
Single Precision Score
1044
Half Precision Score
3544
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gmn17 |
| Upload Date | September 14 2025 03:59 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% |
2101
390.8 IPS |
|
|
Image Classification (HP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (Q)
|
96% |
3580
668.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.30 IPS |
|
|
Image Segmentation (Q)
|
97% |
5464
88.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13574
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5900
6.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
12809
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2278
180.7 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
58% |
2635
287.9 IPS |
|
|
Face Detection (SP)
|
100% |
4720
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
924
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
6795
81.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7599
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1764
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8833
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18846
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14151
18.2 IPS |
|
|
Style Transfer (Q)
|
87% |
17732
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1003
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
713
26.4 IPS |
|
|
Text Classification (SP)
|
100% |
563
751.8 IPS |
|
|
Text Classification (HP)
|
100% |
310
413.8 IPS |
|
|
Text Classification (Q)
|
97% |
430
576.6 IPS |
|
|
Machine Translation (SP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
68% |
1452
28.0 IPS |
