Micro-Star International Co., Ltd. Cyborg 17 B2RWEKG
Geekbench AI Score
3266
Single Precision Score
1433
Half Precision Score
6320
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 06:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 7 240H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Cyborg 17 B2RWEKG |
| Motherboard | Micro-Star International Co., Ltd. MS-17U3 |
| 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% |
2551
474.4 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.4 IPS |
|
|
Image Classification (Q)
|
99% |
4977
928.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6488
105.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4707
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3399
3.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
16283
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (HP)
|
100% |
703
55.7 IPS |
|
|
Object Detection (Q)
|
86% |
5123
411.7 IPS |
|
|
Face Detection (SP)
|
100% |
6441
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
1661
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
7785
92.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6151
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2028
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12102
96.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11560
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8299
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20075
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2211
81.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4844
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
744
992.9 IPS |
|
|
Text Classification (Q)
|
97% |
1422
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2901
58.3 IPS |
