Micro-Star International Co., Ltd. Prestige 14 Flip AI+ D3MTG
Geekbench AI Score
18292
Single Precision Score
45345
Half Precision Score
58300
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | March 04 2026 05:43 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B390 GPU (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 14 Flip AI+ D3MTG |
| Motherboard | Micro-Star International Co., Ltd. MS-14T2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra X7 358H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10235
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
18972
3.53 KIPS |
|
|
Image Classification (Q)
|
100% |
27980
5.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19336
313.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
52001
843.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
55638
901.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
46595
54.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
234075
273.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
490827
574.6 IPS |
|
|
Object Detection (SP)
|
100% |
10417
826.3 IPS |
|
|
Object Detection (HP)
|
100% |
24130
1.91 KIPS |
|
|
Object Detection (Q)
|
88% |
34647
2.78 KIPS |
|
|
Face Detection (SP)
|
100% |
21194
251.8 IPS |
|
|
Face Detection (HP)
|
100% |
55671
661.5 IPS |
|
|
Face Detection (Q)
|
100% |
75634
898.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
39887
307.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85828
661.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
108883
846.7 IPS |
|
|
Style Transfer (SP)
|
100% |
111045
142.7 IPS |
|
|
Style Transfer (HP)
|
100% |
417523
536.7 IPS |
|
|
Style Transfer (Q)
|
98% |
605709
781.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16834
621.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57388
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84008
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
5340
7.13 KIPS |
|
|
Text Classification (HP)
|
100% |
6176
8.24 KIPS |
|
|
Text Classification (Q)
|
92% |
4439
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5174
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9329
161.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9212
158.7 IPS |
