Colorful Technology And Development Co.,LTD COLORFIRE B650M-MEOW WIFI ORANGE
Geekbench AI Score
5940
Single Precision Score
5922
Half Precision Score
16246
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | July 03 2025 05:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Colorful Technology And Development Co.,LTD COLORFIRE B650M-MEOW WIFI ORANGE |
| Motherboard | Colorful Technology And Development Co.,LTD COLORFIRE B650M-MEOW WIFI ORANGE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3675
683.4 IPS |
|
|
Image Classification (HP)
|
100% |
3660
680.7 IPS |
|
|
Image Classification (Q)
|
100% |
10469
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4235
68.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4220
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11014
178.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6654
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
6663
7.77 IPS |
|
|
Pose Estimation (Q)
|
98% |
26214
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
3548
281.4 IPS |
|
|
Object Detection (HP)
|
100% |
3609
286.3 IPS |
|
|
Object Detection (Q)
|
88% |
10745
861.3 IPS |
|
|
Face Detection (SP)
|
100% |
9176
109.0 IPS |
|
|
Face Detection (HP)
|
100% |
8971
106.6 IPS |
|
|
Face Detection (Q)
|
100% |
26316
312.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8867
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8826
68.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
27429
213.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18623
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18540
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
68980
88.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4299
158.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4303
158.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13974
517.5 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3467
4.63 KIPS |
|
|
Text Classification (Q)
|
92% |
6001
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
6581
113.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6533
112.5 IPS |
|
|
Machine Translation (Q)
|
100% |
9448
162.7 IPS |
