MacBook Air (Late 2020)
Geekbench AI Score
4658
Single Precision Score
5442
Half Precision Score
4761
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iambjlu |
| Upload Date | November 06 2025 04:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| Model | MacBook Air (Late 2020) |
| Model ID | MacBookAir10,1 |
| Motherboard | MacBookAir10,1 |
| 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% |
2153
400.4 IPS |
|
|
Image Classification (HP)
|
100% |
2380
442.6 IPS |
|
|
Image Classification (Q)
|
97% |
1958
365.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3251
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3310
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15529
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16865
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15687
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (HP)
|
100% |
2497
198.0 IPS |
|
|
Object Detection (Q)
|
91% |
2112
168.8 IPS |
|
|
Face Detection (SP)
|
100% |
6354
75.5 IPS |
|
|
Face Detection (HP)
|
100% |
7438
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
5195
61.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9986
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11167
86.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9291
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26721
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30760
39.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28936
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6148
227.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6833
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5240
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4019
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
952
16.5 IPS |
