MacBook Air (Late 2020)
Geekbench AI Score
4927
Single Precision Score
5655
Half Precision Score
4475
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 01:18 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2189
407.0 IPS |
|
|
Image Classification (HP)
|
100% |
2298
427.3 IPS |
|
|
Image Classification (Q)
|
99% |
2345
437.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3630
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3793
61.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
3803
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15822
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17274
20.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
16509
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.0 IPS |
|
|
Object Detection (HP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (Q)
|
92% |
2202
175.8 IPS |
|
|
Face Detection (SP)
|
100% |
6484
77.0 IPS |
|
|
Face Detection (HP)
|
100% |
7615
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
6366
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10355
79.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11897
91.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
1858
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26642
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31205
40.1 IPS |
|
|
Style Transfer (Q)
|
100% |
30927
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6076
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6812
251.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5650
209.3 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4127
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1166
20.2 IPS |
