Micro-Star International Co., Ltd. Prestige 14 Flip AI+ D3MTG
Geekbench AI Score
3694
Single Precision Score
3304
Half Precision Score
7708
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | February 16 2026 11:48 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra X7 358H |
| 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% |
2758
512.9 IPS |
|
|
Image Classification (HP)
|
100% |
2097
389.9 IPS |
|
|
Image Classification (Q)
|
100% |
5745
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3176
51.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5075
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5520
6.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4360
5.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
13401
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2340
185.6 IPS |
|
|
Object Detection (HP)
|
100% |
1906
151.1 IPS |
|
|
Object Detection (Q)
|
88% |
5554
445.2 IPS |
|
|
Face Detection (SP)
|
100% |
8111
96.4 IPS |
|
|
Face Detection (HP)
|
100% |
6018
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
13271
157.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6337
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4948
38.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
14472
112.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14740
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13574
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
35337
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2801
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2628
97.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7710
285.5 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1234
1.65 KIPS |
|
|
Text Classification (Q)
|
92% |
1928
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3853
66.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3386
58.3 IPS |
