MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3212
Single Precision Score
5301
Half Precision Score
4386
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | shigue |
| Upload Date | March 17 2025 02:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.6 IPS |
|
|
Image Classification (Q)
|
96% |
1554
290.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2566
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6516
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13907
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11974
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2393
190.5 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5452
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3146
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5794
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11046
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7640
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16690
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25987
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21787
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3720
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4476
165.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3404
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4084
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3875
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4273
73.8 IPS |
