Micro-Star International Co., Ltd. Katana 17 HX B14WGK
Geekbench AI Score
2347
Single Precision Score
3074
Half Precision Score
4560
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 09 2025 03:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana 17 HX B14WGK |
| Motherboard | Micro-Star International Co., Ltd. MS-17L7 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1466
272.6 IPS |
|
|
Image Classification (HP)
|
100% |
1085
201.8 IPS |
|
|
Image Classification (Q)
|
99% |
1552
289.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3742
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4344
70.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4464
5.21 IPS |
|
|
Pose Estimation (HP)
|
99% |
3257
3.80 IPS |
|
|
Pose Estimation (Q)
|
97% |
13345
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (HP)
|
98% |
1927
153.3 IPS |
|
|
Object Detection (Q)
|
90% |
3076
245.9 IPS |
|
|
Face Detection (SP)
|
100% |
4720
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
7761
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
8569
101.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5176
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8683
67.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
11752
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11575
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18353
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30619
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2075
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3381
124.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6817
252.5 IPS |
|
|
Text Classification (SP)
|
71% |
560
810.5 IPS |
|
|
Text Classification (HP)
|
71% |
682
986.2 IPS |
|
|
Text Classification (Q)
|
92% |
747
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1040
18.0 IPS |
|
|
Machine Translation (Q)
|
100% |
896
15.4 IPS |
