Micro-Star International Co., Ltd. Prestige 16 Flip AI+ C3MTG
Geekbench AI Score
4652
Single Precision Score
38201
Half Precision Score
57774
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 22 2026 12:02 AM |
| Views | 11 |
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% |
3022
562.1 IPS |
|
|
Image Classification (HP)
|
100% |
22941
4.27 KIPS |
|
|
Image Classification (Q)
|
100% |
29088
5.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3528
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14988
243.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
22661
368.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5656
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
116453
135.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
276409
324.0 IPS |
|
|
Object Detection (SP)
|
100% |
2523
200.1 IPS |
|
|
Object Detection (HP)
|
100% |
25069
1.99 KIPS |
|
|
Object Detection (Q)
|
87% |
34311
2.75 KIPS |
|
|
Face Detection (SP)
|
100% |
8458
100.5 IPS |
|
|
Face Detection (HP)
|
100% |
58963
700.6 IPS |
|
|
Face Detection (Q)
|
100% |
86916
1.03 KIPS |
|
|
Depth Estimation (SP)
|
100% |
6713
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96952
747.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
187203
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
15564
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
248009
318.8 IPS |
|
|
Style Transfer (Q)
|
98% |
385578
497.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3021
111.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64966
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
117935
4.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3083
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4535
6.05 KIPS |
|
|
Text Classification (Q)
|
92% |
5287
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15786
271.9 IPS |
|
|
Machine Translation (Q)
|
100% |
16944
291.9 IPS |
