MacBook Air (Late 2020)
Geekbench AI Score
368
Single Precision Score
4699
Half Precision Score
3586
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 02 2024 09:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 1.56 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
2914
541.8 IPS |
|
|
Image Classification (Q)
|
96% |
1650
308.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
116
1.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
117
1.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
937
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
23073
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22072
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (HP)
|
99% |
2739
217.9 IPS |
|
|
Object Detection (Q)
|
93% |
2900
231.4 IPS |
|
|
Face Detection (SP)
|
100% |
415
4.93 IPS |
|
|
Face Detection (HP)
|
100% |
5390
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
5598
66.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
600
4.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
17489
134.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
18594
145.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2087
2.68 IPS |
|
|
Style Transfer (HP)
|
100% |
43598
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
42908
55.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
489
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6920
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7943
293.3 IPS |
|
|
Text Classification (SP)
|
100% |
141
188.3 IPS |
|
|
Text Classification (HP)
|
100% |
1158
1.55 KIPS |
|
|
Text Classification (Q)
|
93% |
1405
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
250
4.30 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (Q)
|
98% |
571
9.87 IPS |
