MacBook Air (Late 2020)
Geekbench AI Score
4909
Single Precision Score
5646
Half Precision Score
5254
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | July 01 2025 06:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2209
410.8 IPS |
|
|
Image Classification (HP)
|
100% |
2349
436.8 IPS |
|
|
Image Classification (Q)
|
96% |
2177
406.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3654
59.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3783
61.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3636
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15689
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17338
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16777
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.1 IPS |
|
|
Object Detection (HP)
|
100% |
2426
192.4 IPS |
|
|
Object Detection (Q)
|
92% |
2213
176.6 IPS |
|
|
Face Detection (SP)
|
100% |
6451
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
7605
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
6353
75.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10198
78.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11840
91.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10704
83.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27088
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31167
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30230
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6932
256.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5812
214.6 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4004
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4006
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1140
19.7 IPS |
