Micro-Star International Co., Ltd. Katana 15 B12VGK
Geekbench AI Score
3325
Single Precision Score
1432
Half Precision Score
5429
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 11:34 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2541
472.5 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.2 IPS |
|
|
Image Classification (Q)
|
99% |
4839
902.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4293
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4443
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
3432
4.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
16904
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
100% |
685
54.4 IPS |
|
|
Object Detection (Q)
|
86% |
4530
364.1 IPS |
|
|
Face Detection (SP)
|
100% |
6786
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
7777
92.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6325
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1971
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12723
101.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11848
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8744
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20482
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2409
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1761
65.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5132
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
1503
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
503
674.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2209
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2674
53.7 IPS |
