Micro-Star International Co., Ltd. Sword 16 HX B14VFKG
Geekbench AI Score
4078
Single Precision Score
1513
Half Precision Score
7444
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 09:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14650HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Sword 16 HX B14VFKG |
| Motherboard | Micro-Star International Co., Ltd. MS-15P2 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3170
589.4 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.6 IPS |
|
|
Image Classification (Q)
|
99% |
5754
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8953
145.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6720
7.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
4067
4.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
22628
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
2992
237.3 IPS |
|
|
Object Detection (HP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (Q)
|
86% |
6012
483.2 IPS |
|
|
Face Detection (SP)
|
100% |
9084
107.9 IPS |
|
|
Face Detection (HP)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
9200
109.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8544
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2038
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14840
118.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16172
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9977
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24752
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2730
100.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5104
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
1587
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1415
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2012
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3057
61.4 IPS |
