Micro-Star International Co., Ltd. Cyborg 15 B13WGKG
Geekbench AI Score
3393
Single Precision Score
1427
Half Precision Score
5554
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 15 2025 09:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13620H |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Cyborg 15 B13WGKG |
| Motherboard | Micro-Star International Co., Ltd. MS-15Q3 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2626
488.4 IPS |
|
|
Image Classification (HP)
|
100% |
573
106.5 IPS |
|
|
Image Classification (Q)
|
99% |
5402
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
941
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4681
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5094
5.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3608
4.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
18362
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (Q)
|
86% |
4940
397.0 IPS |
|
|
Face Detection (SP)
|
100% |
6783
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
1575
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
7583
90.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6766
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2018
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
12974
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12331
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8666
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20972
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2362
87.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4897
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
1483
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
711
949.1 IPS |
|
|
Text Classification (Q)
|
97% |
463
619.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1974
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2603
52.3 IPS |
