MacBook Air (Late 2020)
Geekbench AI Score
3957
Single Precision Score
4332
Half Precision Score
4203
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jdmu7ewx |
| Upload Date | April 18 2025 10:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1805
335.6 IPS |
|
|
Image Classification (HP)
|
100% |
1871
347.9 IPS |
|
|
Image Classification (Q)
|
96% |
1735
324.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3097
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3041
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2493
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10178
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11228
13.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10400
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1777
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
1912
151.6 IPS |
|
|
Object Detection (Q)
|
92% |
1971
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
4822
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
5285
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
4367
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7697
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8734
67.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8156
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23733
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19896
25.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27745
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6139
226.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6653
245.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5803
214.3 IPS |
|
|
Text Classification (SP)
|
100% |
1569
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (Q)
|
93% |
2728
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1243
21.5 IPS |
