Micro-Star International Co., Ltd. Prestige 16 Flip AI+ C3MTG
Geekbench AI Score
6520
Single Precision Score
12034
Half Precision Score
4365
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 21 2026 08:30 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% |
3727
693.0 IPS |
|
|
Image Classification (HP)
|
100% |
4225
785.7 IPS |
|
|
Image Classification (Q)
|
100% |
2491
463.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5836
94.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11276
182.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4206
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9549
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
26870
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
8730
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
3752
297.6 IPS |
|
|
Object Detection (HP)
|
100% |
6915
548.5 IPS |
|
|
Object Detection (Q)
|
88% |
3275
262.7 IPS |
|
|
Face Detection (SP)
|
100% |
9200
109.3 IPS |
|
|
Face Detection (HP)
|
100% |
15457
183.7 IPS |
|
|
Face Detection (Q)
|
97% |
6448
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15149
116.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34599
266.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10557
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36813
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
132733
170.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28548
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6462
238.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13382
494.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4226
156.5 IPS |
|
|
Text Classification (SP)
|
100% |
1628
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2139
2.85 KIPS |
|
|
Text Classification (Q)
|
97% |
761
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3304
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1343
25.2 IPS |
