Micro-Star International Co., Ltd. Prestige 16 Flip AI+ C3MTG
Geekbench AI Score
4534
Single Precision Score
1679
Half Precision Score
8313
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 21 2026 11:54 PM |
| Views | 11 |
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% |
3467
644.8 IPS |
|
|
Image Classification (HP)
|
100% |
532
98.9 IPS |
|
|
Image Classification (Q)
|
99% |
8018
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11619
188.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8444
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5540
6.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
26672
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
3222
255.6 IPS |
|
|
Object Detection (HP)
|
100% |
737
58.4 IPS |
|
|
Object Detection (Q)
|
86% |
7630
613.2 IPS |
|
|
Face Detection (SP)
|
100% |
9877
117.4 IPS |
|
|
Face Detection (HP)
|
100% |
1794
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
10394
123.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9968
76.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2419
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
18838
150.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17865
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12920
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24308
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2502
92.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4578
169.5 IPS |
|
|
Text Classification (SP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
736
983.0 IPS |
|
|
Text Classification (Q)
|
97% |
1386
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2753
55.3 IPS |
