MacBook Air (Late 2020)
Geekbench AI Score
736
Single Precision Score
7314
Half Precision Score
5363
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | January 12 2025 12:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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 | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
623
115.8 IPS |
|
|
Image Classification (HP)
|
100% |
5292
984.2 IPS |
|
|
Image Classification (Q)
|
96% |
3821
713.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
3319
53.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
175
2.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
2505
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
42160
49.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
29062
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
356
28.3 IPS |
|
|
Object Detection (HP)
|
99% |
4072
323.9 IPS |
|
|
Object Detection (Q)
|
93% |
4179
333.4 IPS |
|
|
Face Detection (SP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
7503
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
8818
104.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1783
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32538
250.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
37442
292.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5272
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
87277
112.2 IPS |
|
|
Style Transfer (Q)
|
96% |
87979
113.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8959
330.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7892
291.4 IPS |
|
|
Text Classification (SP)
|
100% |
128
170.3 IPS |
|
|
Text Classification (HP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (Q)
|
93% |
1337
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (HP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (Q)
|
98% |
791
13.7 IPS |
