MacBook Air (Late 2020)
Geekbench AI Score
3084
Single Precision Score
15113
Half Precision Score
14692
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | brianl831 |
| Upload Date | February 01 2026 11:04 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1297
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
6288
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5926
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8874
143.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9153
148.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6011
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
67710
79.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65680
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.8 IPS |
|
|
Object Detection (HP)
|
99% |
7012
557.8 IPS |
|
|
Object Detection (Q)
|
91% |
6657
532.0 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
13860
164.7 IPS |
|
|
Face Detection (Q)
|
100% |
12875
153.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5471
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45905
353.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
46582
364.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16477
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121168
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
114589
147.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3445
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24251
895.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24117
890.5 IPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4224
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4160
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2866
49.5 IPS |
