Micro-Star International Co., Ltd. Prestige 16 Flip AI+ C3MTG
Geekbench AI Score
4391
Single Precision Score
4145
Half Precision Score
8347
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 21 2026 08:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 386H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 16 Flip AI+ C3MTG |
| Motherboard | Micro-Star International Co., Ltd. MS-2622 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 386H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2955
549.6 IPS |
|
|
Image Classification (HP)
|
100% |
3729
693.4 IPS |
|
|
Image Classification (Q)
|
100% |
5947
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3583
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5343
86.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5635
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
4674
5.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
12444
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
2361
187.3 IPS |
|
|
Object Detection (HP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (Q)
|
88% |
5394
432.4 IPS |
|
|
Face Detection (SP)
|
100% |
7549
89.7 IPS |
|
|
Face Detection (HP)
|
100% |
7830
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
12740
151.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6319
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5852
45.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
13948
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14286
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11963
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
34689
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2801
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2700
99.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7584
280.8 IPS |
|
|
Text Classification (SP)
|
100% |
2712
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (Q)
|
92% |
4598
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4219
72.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3582
61.7 IPS |
