MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3226
Single Precision Score
5264
Half Precision Score
4401
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Bigguswiggus |
| Upload Date | January 12 2025 01:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (13-inch Late 2020) |
| Model ID | MacBookPro17,1 |
| Motherboard | MacBookPro17,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
2194
408.1 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2601
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6543
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13936
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12086
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (HP)
|
97% |
2428
193.3 IPS |
|
|
Object Detection (Q)
|
94% |
1801
143.5 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5511
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3244
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5859
45.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11119
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7697
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16757
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26009
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21926
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3712
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4322
159.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3346
123.6 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3956
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2498
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3749
64.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4251
73.5 IPS |
