MacBook Air (Late 2020)
Geekbench AI Score
4703
Single Precision Score
5728
Half Precision Score
5181
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 07 2025 08:28 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
2504
465.7 IPS |
|
|
Image Classification (Q)
|
97% |
2232
416.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3640
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3728
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15955
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18529
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16949
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2548
202.1 IPS |
|
|
Object Detection (HP)
|
100% |
2755
218.6 IPS |
|
|
Object Detection (Q)
|
91% |
2196
175.5 IPS |
|
|
Face Detection (SP)
|
100% |
6453
76.7 IPS |
|
|
Face Detection (HP)
|
100% |
6869
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
5758
68.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11620
89.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13228
101.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11053
86.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28820
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35079
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32334
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6602
243.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7365
272.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5629
207.8 IPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3728
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
4105
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
948
16.4 IPS |
