Micro-Star International Co., Ltd. Summit 13 AI+ Evo A2VMTG
Geekbench AI Score
2754
Single Precision Score
1149
Half Precision Score
5282
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 04:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
2260
420.2 IPS |
|
|
Image Classification (HP)
|
100% |
513
95.4 IPS |
|
|
Image Classification (Q)
|
99% |
4318
805.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6906
112.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4299
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2476
2.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
13924
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2009
159.3 IPS |
|
|
Object Detection (HP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (Q)
|
86% |
4815
387.0 IPS |
|
|
Face Detection (SP)
|
100% |
5324
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (Q)
|
97% |
6209
74.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4338
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1561
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9301
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11057
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5852
7.52 IPS |
|
|
Style Transfer (Q)
|
98% |
15933
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1380
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3699
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
633
844.7 IPS |
|
|
Text Classification (Q)
|
97% |
1204
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
775
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2064
41.5 IPS |
