Micro-Star International Co., Ltd. Katana 15 HX B14WFK
Geekbench AI Score
3951
Single Precision Score
1197
Half Precision Score
6642
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 11:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana 15 HX B14WFK |
| Motherboard | Micro-Star International Co., Ltd. MS-1587 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3265
607.3 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.0 IPS |
|
|
Image Classification (Q)
|
99% |
4725
881.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8802
143.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8174
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3485
4.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
24621
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
3071
243.6 IPS |
|
|
Object Detection (HP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (Q)
|
86% |
5260
422.8 IPS |
|
|
Face Detection (SP)
|
100% |
9594
114.0 IPS |
|
|
Face Detection (HP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
8367
99.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9101
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1569
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14024
111.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17924
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8531
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23522
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2739
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1543
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4160
154.1 IPS |
|
|
Text Classification (SP)
|
100% |
1054
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
578
771.1 IPS |
|
|
Text Classification (Q)
|
97% |
1068
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1561
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2532
50.9 IPS |
