Micro Computer (HK) Tech Limited F7BSC
Geekbench AI Score
3370
Single Precision Score
1544
Half Precision Score
6675
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 10:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Micro Computer (HK) Tech Limited F7BSC |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F7BSC |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2960
550.4 IPS |
|
|
Image Classification (HP)
|
100% |
609
113.3 IPS |
|
|
Image Classification (Q)
|
99% |
8042
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
956
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
609
9.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
3502
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5729
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
4701
5.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
24313
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
771
61.2 IPS |
|
|
Object Detection (Q)
|
86% |
7534
605.5 IPS |
|
|
Face Detection (SP)
|
100% |
5143
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
1723
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
11068
132.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7565
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2524
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7233
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14338
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11884
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25671
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2203
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3500
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
1854
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1796
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
723
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2637
53.0 IPS |
