Micro-Star International Co., Ltd. Cyborg 15 B2RWEKG
Geekbench AI Score
2825
Single Precision Score
2829
Half Precision Score
6695
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 04:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 5 210H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Cyborg 15 B2RWEKG |
| Motherboard | Micro-Star International Co., Ltd. MS-15Q3 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 5 210H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1644
305.8 IPS |
|
|
Image Classification (HP)
|
100% |
1683
313.1 IPS |
|
|
Image Classification (Q)
|
100% |
4129
767.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3988
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3150
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3157
3.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
11563
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.1 IPS |
|
|
Object Detection (HP)
|
100% |
1626
129.0 IPS |
|
|
Object Detection (Q)
|
88% |
3969
318.2 IPS |
|
|
Face Detection (SP)
|
100% |
4252
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
4383
52.1 IPS |
|
|
Face Detection (Q)
|
100% |
9691
115.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4262
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4354
33.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
10840
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9367
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9360
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
32011
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1883
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1918
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6478
239.9 IPS |
|
|
Text Classification (SP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2009
2.68 KIPS |
|
|
Text Classification (Q)
|
92% |
3921
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2800
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2812
48.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2806
48.3 IPS |
