MacBook Air (Late 2020)
Geekbench AI Score
3073
Single Precision Score
15042
Half Precision Score
14744
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 09 2025 09:39 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
6263
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5929
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8896
144.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9248
149.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5986
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
68126
79.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65145
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
1375
109.1 IPS |
|
|
Object Detection (HP)
|
99% |
7011
557.7 IPS |
|
|
Object Detection (Q)
|
91% |
6717
536.7 IPS |
|
|
Face Detection (SP)
|
100% |
2952
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
13841
164.5 IPS |
|
|
Face Detection (Q)
|
100% |
12750
151.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5399
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46299
356.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
46085
360.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16373
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121697
156.4 IPS |
|
|
Style Transfer (Q)
|
96% |
114174
147.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24133
891.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24658
910.5 IPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4352
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4357
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2459
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2722
46.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2809
48.5 IPS |
