MacBook Air (Late 2020)
Geekbench AI Score
3153
Single Precision Score
5313
Half Precision Score
4360
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sarcoma |
| Upload Date | May 05 2025 12:30 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
2162
402.0 IPS |
|
|
Image Classification (Q)
|
96% |
1546
288.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2483
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6407
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
14034
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12055
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
97% |
2350
187.1 IPS |
|
|
Object Detection (Q)
|
94% |
1746
139.2 IPS |
|
|
Face Detection (SP)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5268
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
3097
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5553
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10292
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7278
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16619
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26625
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22088
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3640
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4583
169.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3457
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4012
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4459
77.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4452
76.9 IPS |
