Micro-Star International Co., Ltd. Cyborg 15 B2RWEKG
Geekbench AI Score
2612
Single Precision Score
1190
Half Precision Score
5386
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 02:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 7 240H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Cyborg 15 B2RWEKG |
| Motherboard | Micro-Star International Co., Ltd. MS-15Q3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 7 240H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1890
351.4 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.7 IPS |
|
|
Image Classification (Q)
|
99% |
4443
828.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
752
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5248
85.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3986
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2923
3.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
14334
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1837
145.7 IPS |
|
|
Object Detection (HP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
86% |
4290
344.8 IPS |
|
|
Face Detection (SP)
|
100% |
4855
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
1322
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
6092
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4828
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1646
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10304
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9968
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7161
9.21 IPS |
|
|
Style Transfer (Q)
|
98% |
17215
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1347
49.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4102
151.9 IPS |
|
|
Text Classification (SP)
|
100% |
1314
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
656
876.0 IPS |
|
|
Text Classification (Q)
|
97% |
1266
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2557
51.4 IPS |
