Micro-Star International Co., Ltd. Prestige 16 Flip AI+ C3MTG
Geekbench AI Score
4560
Single Precision Score
36992
Half Precision Score
55052
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 21 2026 08:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
3293
612.4 IPS |
|
|
Image Classification (HP)
|
100% |
22421
4.17 KIPS |
|
|
Image Classification (Q)
|
100% |
28028
5.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3578
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15005
243.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
22208
361.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5720
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
119001
138.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
268833
315.1 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
23618
1.87 KIPS |
|
|
Object Detection (Q)
|
87% |
31686
2.54 KIPS |
|
|
Face Detection (SP)
|
100% |
8669
103.0 IPS |
|
|
Face Detection (HP)
|
100% |
55308
657.2 IPS |
|
|
Face Detection (Q)
|
100% |
80554
957.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6824
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94752
730.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
187623
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
15543
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245934
316.2 IPS |
|
|
Style Transfer (Q)
|
98% |
385977
497.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2961
109.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
60335
2.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
115211
4.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4348
5.80 KIPS |
|
|
Text Classification (Q)
|
92% |
4642
6.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2803
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15012
258.6 IPS |
|
|
Machine Translation (Q)
|
100% |
15460
266.3 IPS |
