Micro-Star International Co., Ltd. Bravo 17 C7VFKP
Geekbench AI Score
17262
Single Precision Score
29126
Half Precision Score
13678
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 05:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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% |
7096
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
12630
2.36 KIPS |
|
|
Image Classification (Q)
|
99% |
6490
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12897
209.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18248
295.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11636
189.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
84776
98.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
237180
276.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
76740
89.9 IPS |
|
|
Object Detection (SP)
|
100% |
8748
693.9 IPS |
|
|
Object Detection (HP)
|
100% |
15503
1.23 KIPS |
|
|
Object Detection (Q)
|
84% |
7623
614.9 IPS |
|
|
Face Detection (SP)
|
100% |
20794
247.1 IPS |
|
|
Face Detection (HP)
|
100% |
31812
378.0 IPS |
|
|
Face Detection (Q)
|
97% |
19071
227.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
40500
312.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78361
603.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
32718
261.7 IPS |
|
|
Style Transfer (SP)
|
100% |
133350
171.4 IPS |
|
|
Style Transfer (HP)
|
100% |
321145
412.8 IPS |
|
|
Style Transfer (Q)
|
98% |
121208
156.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26995
996.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43377
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20057
742.7 IPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
3485
4.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1774
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4285
73.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1929
36.2 IPS |
