Micro-Star International Co., Ltd. Summit E13FlipEvo A13MT
Geekbench AI Score
2382
Single Precision Score
1043
Half Precision Score
3056
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | CircuitSphere |
| Upload Date | September 06 2024 01:25 PM |
| Views | 4 |
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 | High performance |
| 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% |
1442
268.2 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.6 IPS |
|
|
Image Classification (Q)
|
99% |
2775
517.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
761
12.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2040
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4634
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2929
3.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
13166
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.0 IPS |
|
|
Object Detection (HP)
|
100% |
453
36.0 IPS |
|
|
Object Detection (Q)
|
88% |
1485
119.1 IPS |
|
|
Face Detection (SP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
2992
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4730
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1472
11.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5957
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10031
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7239
9.31 IPS |
|
|
Style Transfer (Q)
|
98% |
15678
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1902
70.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1420
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3115
115.3 IPS |
|
|
Text Classification (SP)
|
100% |
1264
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
516
688.2 IPS |
|
|
Text Classification (Q)
|
97% |
464
620.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.91 IPS |
|
|
Machine Translation (Q)
|
60% |
1591
35.5 IPS |
