MacBook Air (Late 2020)
Geekbench AI Score
423
Single Precision Score
5493
Half Precision Score
4308
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | February 16 2025 04:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| 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 | 1.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
191
35.6 IPS |
|
|
Image Classification (HP)
|
100% |
2909
540.9 IPS |
|
|
Image Classification (Q)
|
96% |
2532
472.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
126
2.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
123
2.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
923
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
26955
31.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
26116
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (HP)
|
99% |
2957
235.2 IPS |
|
|
Object Detection (Q)
|
93% |
2825
225.4 IPS |
|
|
Face Detection (SP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (HP)
|
100% |
5081
60.4 IPS |
|
|
Face Detection (Q)
|
100% |
5422
64.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
634
4.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
19976
153.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
21697
169.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2792
3.59 IPS |
|
|
Style Transfer (HP)
|
100% |
52825
67.9 IPS |
|
|
Style Transfer (Q)
|
96% |
50167
64.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8612
318.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9290
343.0 IPS |
|
|
Text Classification (SP)
|
100% |
163
218.0 IPS |
|
|
Text Classification (HP)
|
100% |
1662
2.22 KIPS |
|
|
Text Classification (Q)
|
93% |
1604
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
455
7.84 IPS |
|
|
Machine Translation (HP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1090
18.8 IPS |
