Micro-Star International Co., Ltd. Modern 15 B13M
Geekbench AI Score
2223
Single Precision Score
2248
Half Precision Score
1429
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 16 2025 04:49 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% |
942
175.1 IPS |
|
|
Image Classification (HP)
|
100% |
961
178.6 IPS |
|
|
Image Classification (Q)
|
100% |
823
153.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1014
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7832
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
9425
11.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
4479
5.25 IPS |
|
|
Object Detection (SP)
|
100% |
1081
85.7 IPS |
|
|
Object Detection (HP)
|
98% |
965
76.8 IPS |
|
|
Object Detection (Q)
|
86% |
909
73.1 IPS |
|
|
Face Detection (SP)
|
100% |
2012
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2559
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
1450
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4471
34.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4971
38.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3174
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18121
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23296
29.9 IPS |
|
|
Style Transfer (Q)
|
98% |
11558
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2652
97.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3398
125.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1169
43.3 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
314
419.2 IPS |
|
|
Text Classification (Q)
|
97% |
430
576.7 IPS |
|
|
Machine Translation (SP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
70% |
393
7.37 IPS |
