Micro-Star International Co., Ltd. Prestige 14 Flip AI+ D3MTG
Geekbench AI Score
18276
Single Precision Score
46598
Half Precision Score
56593
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | February 16 2026 11:52 PM |
| Views | 11 |
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% |
10260
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
20135
3.74 KIPS |
|
|
Image Classification (Q)
|
100% |
27998
5.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19550
316.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
51079
828.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
55144
893.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
41374
48.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
234292
273.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
490429
574.2 IPS |
|
|
Object Detection (SP)
|
100% |
10745
852.3 IPS |
|
|
Object Detection (HP)
|
100% |
25812
2.05 KIPS |
|
|
Object Detection (Q)
|
88% |
34489
2.76 KIPS |
|
|
Face Detection (SP)
|
100% |
21306
253.2 IPS |
|
|
Face Detection (HP)
|
100% |
55668
661.5 IPS |
|
|
Face Detection (Q)
|
100% |
75507
897.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
39020
300.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86093
663.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
108738
845.6 IPS |
|
|
Style Transfer (SP)
|
100% |
111287
143.1 IPS |
|
|
Style Transfer (HP)
|
100% |
411432
528.9 IPS |
|
|
Style Transfer (Q)
|
98% |
603935
778.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16753
618.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
60684
2.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77874
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
6264
8.36 KIPS |
|
|
Text Classification (HP)
|
100% |
7005
9.35 KIPS |
|
|
Text Classification (Q)
|
92% |
4281
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4802
82.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9259
160.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7807
134.5 IPS |
