Micro-Star International Co., Ltd. PRO ADL-U Cubi 5 (MS-B0A8)
Geekbench AI Score
2016
Single Precision Score
2019
Half Precision Score
1227
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | September 04 2024 03:06 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. PRO ADL-U Cubi 5 (MS-B0A8) |
| Motherboard | Micro-Star International Co., Ltd. MS-B0A81 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
837
155.7 IPS |
|
|
Image Classification (HP)
|
100% |
827
153.8 IPS |
|
|
Image Classification (Q)
|
100% |
672
125.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
940
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7757
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
8448
9.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
4179
4.90 IPS |
|
|
Object Detection (SP)
|
100% |
951
75.4 IPS |
|
|
Object Detection (HP)
|
98% |
839
66.7 IPS |
|
|
Object Detection (Q)
|
89% |
773
61.8 IPS |
|
|
Face Detection (SP)
|
100% |
1785
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
2068
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
1209
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4112
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4422
34.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
2782
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17129
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21331
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
11024
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2595
95.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3118
115.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1096
40.6 IPS |
|
|
Text Classification (SP)
|
100% |
594
792.2 IPS |
|
|
Text Classification (HP)
|
100% |
320
426.8 IPS |
|
|
Text Classification (Q)
|
97% |
318
426.3 IPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
295
6.58 IPS |
