MacBook Air (Late 2020)
Geekbench AI Score
3219
Single Precision Score
5285
Half Precision Score
4394
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | chrisbench01 |
| Upload Date | December 14 2024 06:44 PM |
| Views | 3 |
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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2195
408.3 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2597
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13913
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12063
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2431
193.5 IPS |
|
|
Object Detection (Q)
|
94% |
1794
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5555
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3192
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5767
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11057
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7672
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16764
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26013
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21849
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3731
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4372
161.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3350
123.7 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3821
66.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4238
73.2 IPS |
