Micro-Star International Co., Ltd. Prestige 16 Flip AI+ C3MTG
Geekbench AI Score
4483
Single Precision Score
1672
Half Precision Score
8493
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 21 2026 08:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
3518
654.3 IPS |
|
|
Image Classification (HP)
|
100% |
592
110.0 IPS |
|
|
Image Classification (Q)
|
99% |
8084
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
11745
191.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8273
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5460
6.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
27003
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
3363
266.8 IPS |
|
|
Object Detection (HP)
|
100% |
753
59.7 IPS |
|
|
Object Detection (Q)
|
86% |
7453
598.9 IPS |
|
|
Face Detection (SP)
|
100% |
9317
110.7 IPS |
|
|
Face Detection (HP)
|
100% |
1793
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
9681
115.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9337
71.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2045
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
18690
149.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17251
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13032
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27736
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2493
92.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2131
78.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5070
187.7 IPS |
|
|
Text Classification (SP)
|
100% |
1634
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
610
814.6 IPS |
|
|
Text Classification (Q)
|
97% |
1234
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3256
65.4 IPS |
