Micro-Star International Co., Ltd. Prestige 16 Flip AI+ C3MTG
Geekbench AI Score
7033
Single Precision Score
13506
Half Precision Score
4730
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 21 2026 11:56 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
4427
823.3 IPS |
|
|
Image Classification (HP)
|
100% |
7831
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
3452
642.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5834
94.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11161
180.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4170
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9577
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26992
31.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
8745
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
3893
308.8 IPS |
|
|
Object Detection (HP)
|
100% |
7058
559.9 IPS |
|
|
Object Detection (Q)
|
88% |
3523
282.6 IPS |
|
|
Face Detection (SP)
|
100% |
9361
111.2 IPS |
|
|
Face Detection (HP)
|
100% |
15807
187.8 IPS |
|
|
Face Detection (Q)
|
97% |
6519
77.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15382
118.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34075
262.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10863
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37075
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
134807
173.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28349
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6603
243.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13829
510.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4515
167.2 IPS |
|
|
Text Classification (SP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2604
3.48 KIPS |
|
|
Text Classification (Q)
|
97% |
996
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4045
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4639
79.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1401
26.3 IPS |
