MacBook Air (Late 2020)
Geekbench AI Score
3196
Single Precision Score
5391
Half Precision Score
4424
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nzAlsulami |
| Upload Date | April 03 2025 11:02 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2205
410.1 IPS |
|
|
Image Classification (Q)
|
96% |
1560
291.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2523
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6495
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14216
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12212
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
97% |
2395
190.7 IPS |
|
|
Object Detection (Q)
|
94% |
1764
140.6 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5324
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
3118
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5668
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10430
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7364
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16902
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26882
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22277
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3677
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4601
169.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3501
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4077
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4109
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4621
79.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4611
79.7 IPS |
