Micro-Star International Co., Ltd. Summit E13FlipEvo A13MT
Geekbench AI Score
2352
Single Precision Score
891
Half Precision Score
4161
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | CircuitSphere |
| Upload Date | March 21 2025 09:34 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Summit E13FlipEvo A13MT |
| Motherboard | Micro-Star International Co., Ltd. MS-13P3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1833
341.0 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.9 IPS |
|
|
Image Classification (Q)
|
99% |
3499
652.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2230
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4040
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2093
2.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
12561
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.9 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.5 IPS |
|
|
Object Detection (Q)
|
86% |
3694
296.9 IPS |
|
|
Face Detection (SP)
|
100% |
4614
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
1008
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
5748
68.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4878
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1160
8.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
8202
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7624
9.80 IPS |
|
|
Style Transfer (HP)
|
100% |
4990
6.41 IPS |
|
|
Style Transfer (Q)
|
98% |
13440
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1637
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1242
45.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2615
96.8 IPS |
|
|
Text Classification (SP)
|
100% |
1068
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
493
657.9 IPS |
|
|
Text Classification (Q)
|
97% |
1249
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
424
7.30 IPS |
|
|
Machine Translation (Q)
|
65% |
2077
41.7 IPS |
