Micro-Star International Co., Ltd. Bravo 17 C7VFKP
Geekbench AI Score
2781
Single Precision Score
1298
Half Precision Score
6639
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 05:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Bravo 17 C7VFKP |
| Motherboard | Micro-Star International Co., Ltd. MS-17LN |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.2 IPS |
|
|
Image Classification (Q)
|
99% |
6521
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6404
104.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4225
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3599
4.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
17282
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1974
156.5 IPS |
|
|
Object Detection (HP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (Q)
|
86% |
5808
466.8 IPS |
|
|
Face Detection (SP)
|
100% |
4076
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
1298
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
8707
103.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5632
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1946
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7396
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10786
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9752
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22208
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1567
57.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6168
228.4 IPS |
|
|
Text Classification (SP)
|
100% |
1914
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1585
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2839
57.0 IPS |
