MacBook Air (Late 2020)
Geekbench AI Score
3184
Single Precision Score
16065
Half Precision Score
15761
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dglow |
| Upload Date | April 05 2025 01:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
6374
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6018
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9701
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10014
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6468
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
69051
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67262
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.6 IPS |
|
|
Object Detection (HP)
|
99% |
7409
589.3 IPS |
|
|
Object Detection (Q)
|
91% |
6959
556.0 IPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
16851
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15359
182.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5607
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
48940
377.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
49871
389.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16879
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122282
157.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116093
149.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3679
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24008
886.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24705
912.2 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4085
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4065
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3662
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3757
64.9 IPS |
