MacBook Air (Late 2020)
Geekbench AI Score
467
Single Precision Score
5791
Half Precision Score
4462
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | February 15 2025 02:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| 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 | 2.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
676
125.8 IPS |
|
|
Image Classification (HP)
|
100% |
6442
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
5646
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
4007
65.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
1677
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
24202
28.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24251
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (HP)
|
99% |
2472
196.6 IPS |
|
|
Object Detection (Q)
|
93% |
2456
196.0 IPS |
|
|
Face Detection (SP)
|
100% |
404
4.80 IPS |
|
|
Face Detection (HP)
|
100% |
4443
52.8 IPS |
|
|
Face Detection (Q)
|
100% |
5677
67.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
580
4.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
17552
135.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
18853
147.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2042
2.63 IPS |
|
|
Style Transfer (HP)
|
100% |
45090
58.0 IPS |
|
|
Style Transfer (Q)
|
96% |
42867
55.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7473
275.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8350
308.3 IPS |
|
|
Text Classification (SP)
|
100% |
102
136.1 IPS |
|
|
Text Classification (HP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (Q)
|
93% |
1485
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (HP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
721
12.5 IPS |
