Generic
Geekbench AI Score
4927
Single Precision Score
4982
Half Precision Score
7472
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dglow |
| Upload Date | May 30 2025 03:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550M-ITX/ac |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3053
567.8 IPS |
|
|
Image Classification (HP)
|
100% |
3154
586.5 IPS |
|
|
Image Classification (Q)
|
100% |
4944
919.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3638
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3703
60.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5791
94.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5867
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5922
6.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
12332
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
2935
232.8 IPS |
|
|
Object Detection (HP)
|
100% |
2978
236.3 IPS |
|
|
Object Detection (Q)
|
87% |
5073
406.9 IPS |
|
|
Face Detection (SP)
|
100% |
7167
85.2 IPS |
|
|
Face Detection (HP)
|
100% |
7197
85.5 IPS |
|
|
Face Detection (Q)
|
97% |
14700
175.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7450
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7445
57.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
13576
107.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17172
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17314
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35362
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3585
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3636
134.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7210
267.1 IPS |
|
|
Text Classification (SP)
|
100% |
2862
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2872
3.83 KIPS |
|
|
Text Classification (Q)
|
91% |
1283
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4691
80.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4723
81.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4645
80.0 IPS |
