Micro-Star International Co., Ltd. Summit 13 AI+ Evo A2VMTG
Geekbench AI Score
2949
Single Precision Score
16962
Half Precision Score
23640
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | csdhope |
| Upload Date | November 19 2024 03:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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(R) Core(TM) 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% |
1954
363.4 IPS |
|
|
Image Classification (HP)
|
100% |
10660
1.98 KIPS |
|
|
Image Classification (Q)
|
100% |
13819
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4620
74.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6580
106.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3303
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
99742
116.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
191136
223.9 IPS |
|
|
Object Detection (SP)
|
100% |
1833
145.4 IPS |
|
|
Object Detection (HP)
|
100% |
10742
852.0 IPS |
|
|
Object Detection (Q)
|
87% |
17034
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
5407
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
23600
280.4 IPS |
|
|
Face Detection (Q)
|
100% |
43708
519.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4656
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
63556
489.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
95505
743.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9903
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
210171
270.2 IPS |
|
|
Style Transfer (Q)
|
98% |
294150
379.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30047
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41228
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
1840
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2043
2.73 KIPS |
|
|
Text Classification (Q)
|
92% |
1864
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2267
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1931
33.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1952
33.6 IPS |
