MacBook Air (Late 2020)
Geekbench AI Score
3078
Single Precision Score
15002
Half Precision Score
14557
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | jbruce2112 |
| Upload Date | January 10 2026 07:49 AM |
| Views | 5 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.8 IPS |
|
|
Image Classification (HP)
|
100% |
6301
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5967
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8881
144.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9094
147.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5998
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
67901
79.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
64412
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
99% |
6986
555.7 IPS |
|
|
Object Detection (Q)
|
91% |
6403
511.6 IPS |
|
|
Face Detection (SP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
13701
162.8 IPS |
|
|
Face Detection (Q)
|
100% |
12641
150.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5425
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
45881
353.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
45832
358.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16499
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121927
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114239
147.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3447
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24159
892.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24261
895.9 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4312
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4250
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2725
46.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2799
48.4 IPS |
