System manufacturer System Product Name
Geekbench AI Score
3079
Single Precision Score
1203
Half Precision Score
3909
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 01:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2335
434.3 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.5 IPS |
|
|
Image Classification (Q)
|
96% |
3651
681.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
798
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
477
7.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
2151
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10314
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5725
6.68 IPS |
|
|
Pose Estimation (Q)
|
86% |
10686
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
524
41.6 IPS |
|
|
Object Detection (Q)
|
58% |
2874
314.0 IPS |
|
|
Face Detection (SP)
|
100% |
4096
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (Q)
|
96% |
7018
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8267
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1837
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9244
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19189
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16323
21.0 IPS |
|
|
Style Transfer (Q)
|
87% |
15617
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1863
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1928
71.4 IPS |
|
|
Text Classification (SP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
426
568.4 IPS |
|
|
Text Classification (Q)
|
97% |
870
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (Q)
|
68% |
2036
39.3 IPS |
