MacBook Air (Late 2020)
Geekbench AI Score
3173
Single Precision Score
15765
Half Precision Score
15502
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 24 2025 03:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
6288
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5997
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9568
155.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10024
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6442
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
68562
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66019
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
99% |
7272
578.5 IPS |
|
|
Object Detection (Q)
|
91% |
6780
541.8 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
16040
190.6 IPS |
|
|
Face Detection (Q)
|
100% |
15101
179.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5618
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
48700
375.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
48684
380.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16749
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121078
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114937
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3656
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23703
875.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24209
893.9 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3994
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2457
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3535
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3647
63.0 IPS |
