MacBook Air (Late 2020)
Geekbench AI Score
2661
Single Precision Score
14838
Half Precision Score
14484
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 27 2025 10:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.13 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1262
234.8 IPS |
|
|
Image Classification (HP)
|
100% |
6410
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5950
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8854
143.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9154
148.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4342
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
65376
76.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
58609
68.7 IPS |
|
|
Object Detection (SP)
|
100% |
1054
83.6 IPS |
|
|
Object Detection (HP)
|
99% |
5935
472.1 IPS |
|
|
Object Detection (Q)
|
91% |
6605
527.8 IPS |
|
|
Face Detection (SP)
|
100% |
2218
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
13645
162.1 IPS |
|
|
Face Detection (Q)
|
100% |
11114
132.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4494
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47456
365.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
47951
374.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14233
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120361
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114697
148.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3112
114.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24923
920.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25477
940.7 IPS |
|
|
Text Classification (SP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4347
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4362
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2453
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2783
47.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2838
49.0 IPS |
