Micro-Star International Co., Ltd. Prestige 16 Flip AI+ C3MTG
Geekbench AI Score
4470
Single Precision Score
4123
Half Precision Score
8387
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 21 2026 11:58 PM |
| Views | 7 |
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% |
3029
563.4 IPS |
|
|
Image Classification (HP)
|
100% |
3191
593.4 IPS |
|
|
Image Classification (Q)
|
100% |
5950
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3542
57.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5638
91.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5666
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4657
5.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
12776
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.5 IPS |
|
|
Object Detection (HP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (Q)
|
88% |
5397
432.7 IPS |
|
|
Face Detection (SP)
|
100% |
7570
90.0 IPS |
|
|
Face Detection (HP)
|
100% |
7577
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
12678
150.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6483
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5829
44.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
13921
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14962
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12983
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34844
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2959
109.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2749
101.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7576
280.6 IPS |
|
|
Text Classification (SP)
|
100% |
2851
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (Q)
|
92% |
4673
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3701
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4390
75.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3423
59.0 IPS |
