MacBook Air (Late 2020)
Geekbench AI Score
3074
Single Precision Score
5381
Half Precision Score
4445
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Teva |
| Upload Date | January 24 2026 09:13 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1302
242.2 IPS |
|
|
Image Classification (HP)
|
100% |
2212
411.4 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2527
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6002
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14129
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12136
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
97% |
2406
191.5 IPS |
|
|
Object Detection (Q)
|
94% |
1786
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5437
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3178
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5418
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10348
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7382
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16491
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26258
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21897
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3446
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4466
164.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3499
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4166
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4151
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4678
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4671
80.7 IPS |
