Micro-Star International Co., Ltd. Katana 15 B12VGK
Geekbench AI Score
3676
Single Precision Score
5276
Half Precision Score
8391
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 11:42 AM |
| Views | 8 |
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% |
2205
410.0 IPS |
|
|
Image Classification (HP)
|
100% |
3592
668.0 IPS |
|
|
Image Classification (Q)
|
99% |
5170
964.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3424
55.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5418
87.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6655
107.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7008
8.18 IPS |
|
|
Pose Estimation (HP)
|
99% |
5002
5.84 IPS |
|
|
Pose Estimation (Q)
|
97% |
22280
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
2079
164.9 IPS |
|
|
Object Detection (HP)
|
100% |
3208
254.4 IPS |
|
|
Object Detection (Q)
|
90% |
5700
455.7 IPS |
|
|
Face Detection (SP)
|
100% |
6501
77.2 IPS |
|
|
Face Detection (HP)
|
100% |
10091
119.9 IPS |
|
|
Face Detection (Q)
|
100% |
14444
171.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7460
57.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12128
93.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
16950
131.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18170
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26673
34.3 IPS |
|
|
Style Transfer (Q)
|
98% |
50270
64.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3055
112.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4746
175.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9869
365.5 IPS |
|
|
Text Classification (SP)
|
71% |
1203
1.74 KIPS |
|
|
Text Classification (HP)
|
71% |
1462
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
1383
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2366
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2359
40.8 IPS |
