Micro-Star International Co., Ltd. Katana 15 B13VEK
Geekbench AI Score
196
Single Precision Score
175
Half Precision Score
152
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 17 2025 10:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-13620H |
| System Information | |
|---|---|
| Operating System | MakuluLinux LinDoz 2025 |
| Model | Micro-Star International Co., Ltd. Katana 15 B13VEK |
| Motherboard | Micro-Star International Co., Ltd. MS-1585 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
70
13.0 IPS |
|
|
Image Classification (HP)
|
100% |
67
12.4 IPS |
|
|
Image Classification (Q)
|
99% |
58
10.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
233
3.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
1218
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1171
1.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1187
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
98
7.76 IPS |
|
|
Object Detection (HP)
|
100% |
77
6.09 IPS |
|
|
Object Detection (Q)
|
85% |
80
6.46 IPS |
|
|
Face Detection (SP)
|
100% |
322
3.82 IPS |
|
|
Face Detection (HP)
|
100% |
376
4.47 IPS |
|
|
Face Detection (Q)
|
97% |
319
3.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
452
3.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
463
3.57 IPS |
|
|
Depth Estimation (Q)
|
63% |
264
2.47 IPS |
|
|
Style Transfer (SP)
|
100% |
1874
2.41 IPS |
|
|
Style Transfer (HP)
|
100% |
1958
2.52 IPS |
|
|
Style Transfer (Q)
|
98% |
2426
3.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
197
7.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
183
6.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
167
6.18 IPS |
|
|
Text Classification (SP)
|
100% |
30
39.9 IPS |
|
|
Text Classification (HP)
|
100% |
11
14.4 IPS |
|
|
Text Classification (Q)
|
92% |
9
11.9 IPS |
|
|
Machine Translation (SP)
|
100% |
23
0.39 IPS |
|
|
Machine Translation (HP)
|
100% |
24
0.41 IPS |
|
|
Machine Translation (Q)
|
58% |
17
0.40 IPS |
