MacBook Air (Late 2020)
Geekbench AI Score
2848
Single Precision Score
4275
Half Precision Score
3708
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | chonaso |
| Upload Date | March 13 2026 04:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.8.4 (Build 23J319) |
| 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% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
1696
315.5 IPS |
|
|
Image Classification (Q)
|
96% |
1281
239.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1679
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5848
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13551
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11710
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
97% |
1952
155.4 IPS |
|
|
Object Detection (Q)
|
94% |
1527
121.7 IPS |
|
|
Face Detection (SP)
|
100% |
2402
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
3981
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
2615
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5223
40.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8166
63.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6148
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15564
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24641
31.7 IPS |
|
|
Style Transfer (Q)
|
96% |
20778
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3375
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4321
159.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3402
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3672
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1881
32.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3073
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3068
53.0 IPS |
