MacBook Air (Late 2020)
Geekbench AI Score
3059
Single Precision Score
15122
Half Precision Score
14621
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | February 08 2026 01:24 AM |
| Views | 7 |
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% |
1286
239.1 IPS |
|
|
Image Classification (HP)
|
100% |
6340
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5966
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8926
144.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9164
148.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5941
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
68198
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65540
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.8 IPS |
|
|
Object Detection (HP)
|
99% |
7051
560.9 IPS |
|
|
Object Detection (Q)
|
91% |
6377
509.6 IPS |
|
|
Face Detection (SP)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
14048
166.9 IPS |
|
|
Face Detection (Q)
|
100% |
13021
154.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5456
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46278
356.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
46115
360.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16052
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121900
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114011
147.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3448
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24161
892.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23835
880.1 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4320
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4239
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2779
47.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2826
48.8 IPS |
