ASUS System Product Name
Geekbench AI Score
2875
Single Precision Score
1040
Half Precision Score
3521
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gmn17 |
| Upload Date | September 08 2025 11:41 PM |
| Views | 5 |
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% |
2162
402.1 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.4 IPS |
|
|
Image Classification (Q)
|
96% |
3580
668.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1183
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
5437
88.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12716
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5794
6.76 IPS |
|
|
Pose Estimation (Q)
|
86% |
12798
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.3 IPS |
|
|
Object Detection (HP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (Q)
|
58% |
2663
291.0 IPS |
|
|
Face Detection (SP)
|
100% |
4539
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
916
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
6744
80.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7535
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1757
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8815
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18465
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14065
18.1 IPS |
|
|
Style Transfer (Q)
|
87% |
17210
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1423
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1006
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
766
28.4 IPS |
|
|
Text Classification (SP)
|
100% |
584
779.1 IPS |
|
|
Text Classification (HP)
|
100% |
322
430.0 IPS |
|
|
Text Classification (Q)
|
97% |
408
546.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
68% |
1381
26.7 IPS |
