MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3182
Single Precision Score
5333
Half Precision Score
4409
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 01:34 AM |
| Views | 4 |
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
263.9 IPS |
|
|
Image Classification (HP)
|
100% |
2207
410.4 IPS |
|
|
Image Classification (Q)
|
96% |
1566
292.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2533
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6338
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
14213
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12210
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2366
188.4 IPS |
|
|
Object Detection (Q)
|
94% |
1774
141.4 IPS |
|
|
Face Detection (SP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5397
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3162
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5648
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10404
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7374
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16933
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26995
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22409
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3620
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4500
166.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3477
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3949
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2514
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4520
78.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4505
77.9 IPS |
