Micro-Star International Co., Ltd. Thin 15 B12UCX
Geekbench AI Score
1473
Single Precision Score
1497
Half Precision Score
3626
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rbbarnawi |
| Upload Date | October 02 2025 03:37 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12650H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Thin 15 B12UCX |
| Motherboard | Micro-Star International Co., Ltd. MS-16R8 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12650H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
636
118.3 IPS |
|
|
Image Classification (HP)
|
100% |
602
111.9 IPS |
|
|
Image Classification (Q)
|
100% |
2338
434.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2468
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1893
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1981
2.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
7273
8.52 IPS |
|
|
Object Detection (SP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (HP)
|
100% |
1042
82.7 IPS |
|
|
Object Detection (Q)
|
88% |
2466
197.7 IPS |
|
|
Face Detection (SP)
|
100% |
1987
23.6 IPS |
|
|
Face Detection (HP)
|
100% |
2049
24.3 IPS |
|
|
Face Detection (Q)
|
100% |
3715
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1844
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1916
14.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
6084
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5926
7.62 IPS |
|
|
Style Transfer (HP)
|
100% |
5564
7.15 IPS |
|
|
Style Transfer (Q)
|
98% |
17787
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1222
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3685
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1695
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1515
26.1 IPS |
