Micro-Star International Co., Ltd. Katana 15 B12VGK
Geekbench AI Score
18923
Single Precision Score
30631
Half Precision Score
14464
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 18 2025 11:36 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% |
7404
1.38 KIPS |
|
|
Image Classification (HP)
|
99% |
12814
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
6312
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13260
215.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17652
286.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12005
195.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
108168
126.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
285533
333.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
94366
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
8667
687.5 IPS |
|
|
Object Detection (HP)
|
100% |
13969
1.11 KIPS |
|
|
Object Detection (Q)
|
85% |
7796
627.6 IPS |
|
|
Face Detection (SP)
|
100% |
22966
272.9 IPS |
|
|
Face Detection (HP)
|
100% |
36244
430.7 IPS |
|
|
Face Detection (Q)
|
97% |
20188
240.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
45708
352.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
80601
621.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
36588
292.4 IPS |
|
|
Style Transfer (SP)
|
100% |
169016
217.3 IPS |
|
|
Style Transfer (HP)
|
100% |
405401
521.1 IPS |
|
|
Style Transfer (Q)
|
98% |
154096
198.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33359
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48248
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21968
813.4 IPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
3865
5.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1663
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3627
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3650
63.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1729
32.4 IPS |
