Micro-Star International Co., Ltd. Summit 13 AI+ Evo A2VMTG
Geekbench AI Score
2902
Single Precision Score
19260
Half Precision Score
28746
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 04:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Summit 13 AI+ Evo A2VMTG |
| Motherboard | Micro-Star International Co., Ltd. MS-13P5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1826
339.5 IPS |
|
|
Image Classification (HP)
|
100% |
11749
2.18 KIPS |
|
|
Image Classification (Q)
|
100% |
18914
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6048
98.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8792
142.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3287
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
101792
118.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
203360
238.2 IPS |
|
|
Object Detection (SP)
|
100% |
1679
133.1 IPS |
|
|
Object Detection (HP)
|
100% |
14940
1.19 KIPS |
|
|
Object Detection (Q)
|
87% |
21034
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
4881
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
28455
338.1 IPS |
|
|
Face Detection (Q)
|
100% |
55257
656.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4515
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
68240
525.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
112446
875.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9158
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
224051
288.0 IPS |
|
|
Style Transfer (Q)
|
98% |
332798
429.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1862
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31570
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48014
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2056
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1691
2.26 KIPS |
|
|
Text Classification (Q)
|
92% |
1869
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2627
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2799
48.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2919
50.3 IPS |
