Micro-Star International Co., Ltd. Katana 15 HX B14WEK
Geekbench AI Score
3243
Single Precision Score
1268
Half Precision Score
4607
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 24 2025 07:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana 15 HX B14WEK |
| Motherboard | Micro-Star International Co., Ltd. MS-1587 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14650HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1786
332.1 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
99% |
3197
596.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
892
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3129
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6798
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3863
4.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
22813
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.3 IPS |
|
|
Object Detection (HP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (Q)
|
88% |
1931
154.8 IPS |
|
|
Face Detection (SP)
|
100% |
3490
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
4318
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7348
56.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1728
13.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
8023
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16021
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9388
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21696
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2732
100.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4139
153.3 IPS |
|
|
Text Classification (SP)
|
100% |
1496
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
587
783.5 IPS |
|
|
Text Classification (Q)
|
97% |
1409
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.62 IPS |
|
|
Machine Translation (Q)
|
60% |
2230
49.7 IPS |
