MacBook Air (Late 2020)
Geekbench AI Score
3084
Single Precision Score
14901
Half Precision Score
14636
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mulnir |
| Upload Date | September 17 2025 11:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
6277
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5971
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8802
142.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9175
148.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6009
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
67413
78.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
64996
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (HP)
|
99% |
6867
546.2 IPS |
|
|
Object Detection (Q)
|
91% |
6402
511.5 IPS |
|
|
Face Detection (SP)
|
100% |
2963
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
13545
160.9 IPS |
|
|
Face Detection (Q)
|
100% |
12715
151.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5469
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45941
353.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
48406
378.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16437
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120984
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114403
147.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3446
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24111
890.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24245
895.2 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4282
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4158
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2474
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2716
46.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2788
48.2 IPS |
