MacBook Air (Late 2020)
Geekbench AI Score
2229
Single Precision Score
3604
Half Precision Score
2904
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | chrisbench01 |
| Upload Date | December 13 2024 05:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 1.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
946
175.9 IPS |
|
|
Image Classification (HP)
|
100% |
1445
268.8 IPS |
|
|
Image Classification (Q)
|
96% |
991
185.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1693
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4304
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
9178
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
7878
9.23 IPS |
|
|
Object Detection (SP)
|
100% |
1019
80.8 IPS |
|
|
Object Detection (HP)
|
97% |
1617
128.8 IPS |
|
|
Object Detection (Q)
|
94% |
1173
93.5 IPS |
|
|
Face Detection (SP)
|
100% |
2200
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
3780
44.9 IPS |
|
|
Face Detection (Q)
|
100% |
2113
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3839
29.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7248
56.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
4942
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11434
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17571
22.6 IPS |
|
|
Style Transfer (Q)
|
96% |
14460
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2554
94.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3072
113.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2218
81.9 IPS |
|
|
Text Classification (SP)
|
100% |
1559
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2659
3.55 KIPS |
|
|
Text Classification (Q)
|
93% |
2645
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1880
32.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2919
50.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3116
53.9 IPS |
