MacBook Air (Late 2020)
Geekbench AI Score
3166
Single Precision Score
15785
Half Precision Score
15613
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | February 24 2025 12:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.13 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1320
245.5 IPS |
|
|
Image Classification (HP)
|
100% |
6204
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
6031
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9724
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10000
162.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6505
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
69260
80.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66247
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
6927
551.0 IPS |
|
|
Object Detection (Q)
|
91% |
6815
544.5 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
16382
194.7 IPS |
|
|
Face Detection (Q)
|
100% |
14988
178.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
48854
376.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
49430
386.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16442
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
122349
157.3 IPS |
|
|
Style Transfer (Q)
|
96% |
115952
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3613
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23821
879.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24627
909.3 IPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4005
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3987
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2537
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3748
64.8 IPS |
