System manufacturer System Product Name
Geekbench AI Score
4338
Single Precision Score
1498
Half Precision Score
5332
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | thecrownguy |
| Upload Date | March 15 2025 06:35 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| Power Plan | Ultimate Performance |
| 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% |
3103
577.1 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.7 IPS |
|
|
Image Classification (Q)
|
96% |
6037
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2766
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11676
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
6787
7.92 IPS |
|
|
Pose Estimation (Q)
|
86% |
22560
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
3255
258.2 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
58% |
4101
448.1 IPS |
|
|
Face Detection (SP)
|
100% |
6733
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
1318
15.7 IPS |
|
|
Face Detection (Q)
|
96% |
9392
112.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10578
81.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2349
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16009
127.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21438
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17657
22.7 IPS |
|
|
Style Transfer (Q)
|
87% |
22049
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2486
91.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1862
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3293
122.0 IPS |
|
|
Text Classification (SP)
|
100% |
1325
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
601
802.8 IPS |
|
|
Text Classification (Q)
|
97% |
421
563.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1934
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2619
50.6 IPS |
