MacBook Pro (13-inch Mid 2020)
Geekbench AI Score
944
Single Precision Score
946
Half Precision Score
457
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | Jayfries |
| Upload Date | January 29 2025 02:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Plus Graphics |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
539
100.2 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.3 IPS |
|
|
Image Classification (Q)
|
96% |
137
25.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.64 IPS |
|
|
Image Segmentation (Q)
|
99% |
171
2.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
7637
8.91 IPS |
|
|
Pose Estimation (HP)
|
99% |
12008
14.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
1452
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
587
46.5 IPS |
|
|
Object Detection (HP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (Q)
|
93% |
159
12.7 IPS |
|
|
Face Detection (SP)
|
100% |
1786
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
1711
20.3 IPS |
|
|
Face Detection (Q)
|
100% |
237
2.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
1629
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1517
11.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
1406
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3627
4.66 IPS |
|
|
Style Transfer (HP)
|
100% |
3565
4.58 IPS |
|
|
Style Transfer (Q)
|
96% |
3483
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
810
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
779
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
730
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
196
262.3 IPS |
|
|
Text Classification (HP)
|
100% |
208
277.6 IPS |
|
|
Text Classification (Q)
|
95% |
183
245.2 IPS |
|
|
Machine Translation (SP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (Q)
|
98% |
477
8.24 IPS |
