Micro-Star International Co., Ltd. Modern 15 B13M
Geekbench AI Score
2203
Single Precision Score
2281
Half Precision Score
1420
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 16 2025 04:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Modern 15 B13M |
| Motherboard | Micro-Star International Co., Ltd. MS-15H1 |
| Power Plan | CPU Lab - Battery Testing |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1335U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
915
170.1 IPS |
|
|
Image Classification (HP)
|
100% |
990
184.1 IPS |
|
|
Image Classification (Q)
|
100% |
830
154.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1022
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7891
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
9328
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
4454
5.22 IPS |
|
|
Object Detection (SP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (HP)
|
98% |
949
75.5 IPS |
|
|
Object Detection (Q)
|
86% |
913
73.4 IPS |
|
|
Face Detection (SP)
|
100% |
1923
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (Q)
|
97% |
1467
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4458
34.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4872
37.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3146
25.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17966
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23045
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
11422
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2644
97.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3404
125.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1166
43.2 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
354
472.8 IPS |
|
|
Text Classification (Q)
|
97% |
414
554.6 IPS |
|
|
Machine Translation (SP)
|
100% |
809
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
70% |
381
7.15 IPS |
