Micro-Star International Co., Ltd. Prestige 16 Flip AI+ C3MTG
Geekbench AI Score
9512
Single Precision Score
28503
Half Precision Score
35378
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 21 2026 08:35 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
5802
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
14919
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
19503
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7048
114.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25055
406.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
28525
462.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16747
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
92162
107.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
194733
228.0 IPS |
|
|
Object Detection (SP)
|
100% |
5090
403.7 IPS |
|
|
Object Detection (HP)
|
100% |
16658
1.32 KIPS |
|
|
Object Detection (Q)
|
88% |
22414
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
13252
157.5 IPS |
|
|
Face Detection (HP)
|
100% |
32539
386.6 IPS |
|
|
Face Detection (Q)
|
100% |
43119
512.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18887
145.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
53909
415.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
67089
521.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42875
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
173267
222.7 IPS |
|
|
Style Transfer (Q)
|
98% |
244455
315.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7806
288.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30342
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45921
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
4738
6.32 KIPS |
|
|
Text Classification (HP)
|
100% |
7274
9.71 KIPS |
|
|
Text Classification (Q)
|
92% |
4280
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4387
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9195
158.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9103
156.8 IPS |
