System manufacturer System Product Name
Geekbench AI Score
3748
Single Precision Score
1555
Half Precision Score
5507
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kaloryfer |
| Upload Date | August 05 2025 06:09 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X570-P |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2724
506.6 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.6 IPS |
|
|
Image Classification (Q)
|
96% |
5715
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
5470
89.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7182
8.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
5630
6.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
18194
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2862
227.0 IPS |
|
|
Object Detection (HP)
|
100% |
645
51.1 IPS |
|
|
Object Detection (Q)
|
58% |
4020
439.3 IPS |
|
|
Face Detection (SP)
|
100% |
6490
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
1512
18.0 IPS |
|
|
Face Detection (Q)
|
96% |
9288
110.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8571
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2225
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14312
114.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16601
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13816
17.8 IPS |
|
|
Style Transfer (Q)
|
87% |
21590
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2107
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1886
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3780
140.1 IPS |
|
|
Text Classification (SP)
|
100% |
1353
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
705
941.1 IPS |
|
|
Text Classification (Q)
|
97% |
426
570.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2000
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2430
47.0 IPS |
