MacBook Air (Late 2020)
Geekbench AI Score
2070
Single Precision Score
3599
Half Precision Score
2920
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ekx |
| Upload Date | October 30 2025 09:44 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
847
157.6 IPS |
|
|
Image Classification (HP)
|
100% |
1413
262.7 IPS |
|
|
Image Classification (Q)
|
96% |
991
185.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1627
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3849
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
9247
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
7913
9.28 IPS |
|
|
Object Detection (SP)
|
100% |
925
73.3 IPS |
|
|
Object Detection (HP)
|
97% |
1592
126.7 IPS |
|
|
Object Detection (Q)
|
94% |
1151
91.7 IPS |
|
|
Face Detection (SP)
|
100% |
2099
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (Q)
|
100% |
2052
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3539
27.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6653
51.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
4754
37.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10865
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17073
21.9 IPS |
|
|
Style Transfer (Q)
|
96% |
14072
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2364
87.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3221
119.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2316
85.5 IPS |
|
|
Text Classification (SP)
|
100% |
1623
2.17 KIPS |
|
|
Text Classification (HP)
|
99% |
2849
3.80 KIPS |
|
|
Text Classification (Q)
|
93% |
2849
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3405
58.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3398
58.7 IPS |
