MacBook Air (Late 2020)
Geekbench AI Score
3072
Single Precision Score
5390
Half Precision Score
4426
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nugget |
| Upload Date | March 04 2026 04:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
1296
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
2200
409.1 IPS |
|
|
Image Classification (Q)
|
96% |
1564
292.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2507
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5995
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14055
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12100
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
97% |
2380
189.5 IPS |
|
|
Object Detection (Q)
|
94% |
1765
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5383
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3152
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5443
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10383
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7359
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16406
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26170
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21826
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3438
127.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4519
166.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3486
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
2381
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4328
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4198
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4657
80.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4655
80.4 IPS |
