MacBook Air (Late 2020)
Geekbench AI Score
2826
Single Precision Score
4747
Half Precision Score
3914
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dogdee |
| Upload Date | March 19 2025 09:45 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.07 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
1917
356.5 IPS |
|
|
Image Classification (Q)
|
96% |
1403
261.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2268
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5636
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
12067
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10678
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
2213
176.2 IPS |
|
|
Object Detection (Q)
|
94% |
1651
131.6 IPS |
|
|
Face Detection (SP)
|
100% |
2500
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
4688
55.7 IPS |
|
|
Face Detection (Q)
|
100% |
2789
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5177
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10139
78.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7095
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14407
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23484
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19575
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3320
122.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4211
155.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3103
114.6 IPS |
|
|
Text Classification (SP)
|
100% |
2145
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3812
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2210
38.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3295
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3289
56.8 IPS |
