Micro-Star International Co., Ltd. Katana 15 B12VGK
Geekbench AI Score
18773
Single Precision Score
30882
Half Precision Score
14442
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 11:45 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
6942
1.29 KIPS |
|
|
Image Classification (HP)
|
99% |
12757
2.38 KIPS |
|
|
Image Classification (Q)
|
100% |
6278
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13098
212.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17323
280.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12235
199.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
107719
125.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
285448
333.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
95070
111.4 IPS |
|
|
Object Detection (SP)
|
100% |
8709
690.8 IPS |
|
|
Object Detection (HP)
|
100% |
15461
1.23 KIPS |
|
|
Object Detection (Q)
|
85% |
7523
605.6 IPS |
|
|
Face Detection (SP)
|
100% |
22991
273.2 IPS |
|
|
Face Detection (HP)
|
100% |
35032
416.3 IPS |
|
|
Face Detection (Q)
|
97% |
20360
242.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
45111
347.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
77749
599.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
36135
288.8 IPS |
|
|
Style Transfer (SP)
|
100% |
169570
218.0 IPS |
|
|
Style Transfer (HP)
|
100% |
413040
531.0 IPS |
|
|
Style Transfer (Q)
|
98% |
153025
197.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33408
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48665
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22007
814.9 IPS |
|
|
Text Classification (SP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1681
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3831
66.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1726
32.4 IPS |
