MacBook Air (Late 2020)
Geekbench AI Score
5327
Single Precision Score
6085
Half Precision Score
5617
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | brianl831 |
| Upload Date | March 07 2026 05:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5223i) |
| 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% |
1997
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
2235
415.6 IPS |
|
|
Image Classification (Q)
|
94% |
1985
371.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3660
59.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3822
62.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3651
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15631
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17305
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
16778
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.8 IPS |
|
|
Object Detection (HP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (Q)
|
91% |
2359
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
6769
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8122
96.5 IPS |
|
|
Face Detection (Q)
|
100% |
7287
86.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10279
79.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11596
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11028
86.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27071
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31321
40.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30014
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5986
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6700
247.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5502
203.2 IPS |
|
|
Text Classification (SP)
|
99% |
4175
5.57 KIPS |
|
|
Text Classification (HP)
|
99% |
6355
8.48 KIPS |
|
|
Text Classification (Q)
|
92% |
6294
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1503
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1305
22.5 IPS |
