MacBook Air (Late 2020)
Geekbench AI Score
3110
Single Precision Score
5194
Half Precision Score
4270
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | guinea7pig |
| Upload Date | May 20 2025 02:38 PM |
| Views | 4 |
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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
2145
398.9 IPS |
|
|
Image Classification (Q)
|
96% |
1521
284.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2516
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6270
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
12454
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11230
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
97% |
2263
180.2 IPS |
|
|
Object Detection (Q)
|
94% |
1685
134.3 IPS |
|
|
Face Detection (SP)
|
100% |
2764
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5217
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
3062
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5504
42.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10159
78.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7204
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16046
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26520
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21980
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3617
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4542
167.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3378
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4063
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4073
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2456
42.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4293
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4174
72.1 IPS |
