MacBook Air (Late 2020)
Geekbench AI Score
3084
Single Precision Score
5469
Half Precision Score
4459
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | softmac |
| Upload Date | November 06 2025 09:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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% |
1284
238.7 IPS |
|
|
Image Classification (HP)
|
100% |
2231
415.0 IPS |
|
|
Image Classification (Q)
|
96% |
1575
294.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2209
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2536
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5983
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
14111
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12140
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
97% |
2401
191.1 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5473
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3189
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5489
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10323
79.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7366
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16461
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26236
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21901
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3502
129.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4312
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4293
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4657
80.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4661
80.5 IPS |
