Generic
Geekbench AI Score
2869
Single Precision Score
1096
Half Precision Score
3776
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | PB7591 |
| Upload Date | August 29 2025 10:14 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3970X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock TRX40 Creator |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3970X |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2187
406.8 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.6 IPS |
|
|
Image Classification (Q)
|
96% |
3104
579.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
464
7.53 IPS |
|
|
Image Segmentation (Q)
|
97% |
5925
96.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11870
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6171
7.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
15064
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2242
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
58% |
2661
290.8 IPS |
|
|
Face Detection (SP)
|
100% |
5076
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
7007
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7846
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1807
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9653
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20466
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14062
18.1 IPS |
|
|
Style Transfer (Q)
|
87% |
21080
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1148
42.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1092
40.5 IPS |
|
|
Text Classification (SP)
|
100% |
507
676.3 IPS |
|
|
Text Classification (HP)
|
100% |
307
410.0 IPS |
|
|
Text Classification (Q)
|
97% |
390
522.0 IPS |
|
|
Machine Translation (SP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (Q)
|
68% |
1319
25.5 IPS |
