Microsoft Corporation Surface Pro
Geekbench AI Score
634
Single Precision Score
632
Half Precision Score
382
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 27 2025 09:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-7300U |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | Microsoft Corporation Surface Pro |
| Motherboard | Microsoft Corporation Surface Pro |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
408
75.9 IPS |
|
|
Image Classification (HP)
|
100% |
419
77.9 IPS |
|
|
Image Classification (Q)
|
99% |
239
44.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
526
8.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
527
8.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
274
4.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
681
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
619
0.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
510
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (Q)
|
85% |
250
20.1 IPS |
|
|
Face Detection (SP)
|
100% |
850
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
586
6.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
746
5.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
733
5.65 IPS |
|
|
Depth Estimation (Q)
|
63% |
497
4.66 IPS |
|
|
Style Transfer (SP)
|
100% |
1063
1.37 IPS |
|
|
Style Transfer (HP)
|
100% |
1068
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
1156
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
414
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
413
15.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
332
12.3 IPS |
|
|
Text Classification (SP)
|
100% |
681
908.7 IPS |
|
|
Text Classification (HP)
|
100% |
687
917.3 IPS |
|
|
Text Classification (Q)
|
92% |
270
362.6 IPS |
|
|
Machine Translation (SP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
58% |
264
6.19 IPS |
