Micro-Star International Co., Ltd. Katana 15 B12VGK
Geekbench AI Score
4002
Single Precision Score
4176
Half Precision Score
9771
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 11:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12650H |
| 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% |
2479
461.0 IPS |
|
|
Image Classification (HP)
|
100% |
2624
488.0 IPS |
|
|
Image Classification (Q)
|
100% |
5997
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3195
51.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3373
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6312
102.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4716
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
4779
5.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
17253
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.8 IPS |
|
|
Object Detection (HP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (Q)
|
88% |
6377
511.2 IPS |
|
|
Face Detection (SP)
|
100% |
4325
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
5537
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
14647
174.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6240
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6367
49.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
16432
127.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14173
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14403
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48402
62.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2887
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3012
111.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10052
372.3 IPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2586
3.45 KIPS |
|
|
Text Classification (Q)
|
92% |
4134
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4084
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3916
67.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3935
67.8 IPS |
