MacBook Air M1 MacBook Air (Late 2020)
Geekbench AI Score
3081
Single Precision Score
14868
Half Precision Score
14351
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | samuelgibbs |
| Upload Date | March 16 2026 03:32 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
6276
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5971
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9101
147.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9227
149.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6007
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
67632
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
64753
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (HP)
|
99% |
7025
558.8 IPS |
|
|
Object Detection (Q)
|
91% |
6318
504.8 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
14236
169.2 IPS |
|
|
Face Detection (Q)
|
100% |
12770
151.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5453
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45812
353.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
46273
361.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16487
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121882
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114370
147.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3447
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24164
892.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24233
894.8 IPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4220
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4105
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2401
41.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2446
42.3 IPS |
