MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3212
Single Precision Score
5395
Half Precision Score
4399
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 01:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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% |
1419
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
2204
409.9 IPS |
|
|
Image Classification (Q)
|
96% |
1569
292.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2541
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6336
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
14235
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12234
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
97% |
2394
190.6 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5415
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3186
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5688
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10426
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7397
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16982
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27037
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22447
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3697
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4823
178.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3491
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3786
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2515
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4491
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4488
77.6 IPS |
