System manufacturer System Product Name
Geekbench AI Score
4665
Single Precision Score
1633
Half Precision Score
5390
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | thecrownguy |
| Upload Date | February 09 2025 10:53 PM |
| Views | 14 |
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 |
| 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% |
3518
654.3 IPS |
|
|
Image Classification (HP)
|
100% |
568
105.6 IPS |
|
|
Image Classification (Q)
|
96% |
5711
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
2803
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11939
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6637
7.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
22850
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
3621
287.3 IPS |
|
|
Object Detection (HP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (Q)
|
58% |
4225
461.7 IPS |
|
|
Face Detection (SP)
|
100% |
6995
83.1 IPS |
|
|
Face Detection (HP)
|
100% |
1550
18.4 IPS |
|
|
Face Detection (Q)
|
96% |
9487
113.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11309
87.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2523
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16224
129.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23030
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19691
25.3 IPS |
|
|
Style Transfer (Q)
|
87% |
23357
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2551
94.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1992
73.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3387
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
617
824.2 IPS |
|
|
Text Classification (Q)
|
97% |
412
551.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2444
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2674
51.7 IPS |
