MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
1014
Single Precision Score
1036
Half Precision Score
512
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| Upload Date | August 30 2024 05:28 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| Model | MacBook Pro (13-inch Mid 2020) |
| Model ID | MacBookPro16,2 |
| Motherboard | Apple Inc. Mac-5F9802EFE386AA28 MacBookPro16,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1038NG7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 3733 MT/s |
| Type | LPDDR4X |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
752
139.9 IPS |
|
|
Image Classification (HP)
|
100% |
706
131.3 IPS |
|
|
Image Classification (Q)
|
99% |
716
133.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
327
5.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.42 IPS |
|
|
Image Segmentation (Q)
|
100% |
338
5.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
8025
9.36 IPS |
|
|
Pose Estimation (HP)
|
99% |
12999
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
2045
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
747
59.2 IPS |
|
|
Object Detection (HP)
|
100% |
776
61.5 IPS |
|
|
Object Detection (Q)
|
93% |
153
12.2 IPS |
|
|
Face Detection (SP)
|
100% |
2252
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
2174
25.8 IPS |
|
|
Face Detection (Q)
|
100% |
219
2.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1525
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1484
11.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
1478
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3586
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
3485
4.48 IPS |
|
|
Style Transfer (Q)
|
100% |
3435
4.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
761
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
44% |
240
28.0 IPS |
|
|
Text Classification (SP)
|
98% |
183
244.4 IPS |
|
|
Text Classification (HP)
|
98% |
196
263.0 IPS |
|
|
Text Classification (Q)
|
89% |
155
208.6 IPS |
|
|
Machine Translation (SP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (Q)
|
98% |
401
6.93 IPS |
