Micro-Star International Co., Ltd. Prestige 16 Flip AI+ C3MTG
Geekbench AI Score
9520
Single Precision Score
27940
Half Precision Score
34826
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | March 22 2026 12:00 AM |
| Views | 10 |
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% |
5876
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
15630
2.91 KIPS |
|
|
Image Classification (Q)
|
100% |
19418
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7025
113.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25066
406.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
28568
463.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16684
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
91941
107.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
194755
228.0 IPS |
|
|
Object Detection (SP)
|
100% |
5156
409.0 IPS |
|
|
Object Detection (HP)
|
100% |
16541
1.31 KIPS |
|
|
Object Detection (Q)
|
88% |
22596
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
13237
157.3 IPS |
|
|
Face Detection (HP)
|
100% |
32343
384.3 IPS |
|
|
Face Detection (Q)
|
100% |
43595
518.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18816
145.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
54013
416.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
67660
526.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43035
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
171474
220.4 IPS |
|
|
Style Transfer (Q)
|
98% |
242714
313.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7754
286.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30576
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44849
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
4760
6.35 KIPS |
|
|
Text Classification (HP)
|
100% |
6378
8.51 KIPS |
|
|
Text Classification (Q)
|
92% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4357
75.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8332
144.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8715
150.1 IPS |
