Micro-Star International Co., Ltd. Katana 15 B12VGK
Geekbench AI Score
3653
Single Precision Score
5240
Half Precision Score
8352
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 11:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana 15 B12VGK |
| Motherboard | Micro-Star International Co., Ltd. MS-1585 |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2206
410.2 IPS |
|
|
Image Classification (HP)
|
100% |
3507
652.1 IPS |
|
|
Image Classification (Q)
|
99% |
5162
962.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3412
55.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5422
87.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6618
107.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7001
8.17 IPS |
|
|
Pose Estimation (HP)
|
99% |
5065
5.91 IPS |
|
|
Pose Estimation (Q)
|
97% |
22261
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
2055
163.0 IPS |
|
|
Object Detection (HP)
|
100% |
3178
252.1 IPS |
|
|
Object Detection (Q)
|
90% |
5590
447.0 IPS |
|
|
Face Detection (SP)
|
100% |
6548
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
10176
120.9 IPS |
|
|
Face Detection (Q)
|
100% |
14667
174.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7433
57.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12081
93.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
16783
130.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18169
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26628
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
49998
64.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3045
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4746
175.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9857
365.1 IPS |
|
|
Text Classification (SP)
|
71% |
1157
1.67 KIPS |
|
|
Text Classification (HP)
|
71% |
1400
2.02 KIPS |
|
|
Text Classification (Q)
|
92% |
1383
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2346
40.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2316
40.0 IPS |
