Micro-Star International Co., Ltd. Cyborg 15 B2RWEKG
Geekbench AI Score
2946
Single Precision Score
4080
Half Precision Score
6325
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 04:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
1691
314.6 IPS |
|
|
Image Classification (HP)
|
100% |
2538
472.0 IPS |
|
|
Image Classification (Q)
|
99% |
3646
680.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2637
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4195
68.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5265
85.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5501
6.42 IPS |
|
|
Pose Estimation (HP)
|
99% |
4016
4.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
16867
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1631
129.3 IPS |
|
|
Object Detection (HP)
|
99% |
2436
193.2 IPS |
|
|
Object Detection (Q)
|
90% |
3901
311.9 IPS |
|
|
Face Detection (SP)
|
100% |
5275
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
8179
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
11920
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6016
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9898
76.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
13321
103.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14199
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21432
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
38045
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2428
89.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3840
141.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7471
276.7 IPS |
|
|
Text Classification (SP)
|
71% |
1054
1.52 KIPS |
|
|
Text Classification (HP)
|
71% |
1308
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
1279
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1410
24.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1406
24.2 IPS |
