MacBook Air (Late 2020)
Geekbench AI Score
3071
Single Precision Score
5379
Half Precision Score
4408
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | chrisclrk9 |
| Upload Date | January 31 2026 06:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1298
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
2201
409.3 IPS |
|
|
Image Classification (Q)
|
96% |
1564
292.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2205
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2515
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6004
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14046
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12083
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (HP)
|
97% |
2384
189.8 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5387
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3150
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5386
41.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10286
79.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7326
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16389
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25986
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21645
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3452
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4561
168.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3480
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4090
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4080
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4646
80.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4633
80.1 IPS |
