MacBook Air (Late 2020)
Geekbench AI Score
4146
Single Precision Score
4187
Half Precision Score
3761
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 15 2024 03:36 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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% |
1849
343.9 IPS |
|
|
Image Classification (HP)
|
100% |
1833
340.8 IPS |
|
|
Image Classification (Q)
|
99% |
1842
343.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3153
51.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
3077
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15358
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16396
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14737
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2234
177.2 IPS |
|
|
Object Detection (HP)
|
100% |
2331
184.9 IPS |
|
|
Object Detection (Q)
|
92% |
1811
144.6 IPS |
|
|
Face Detection (SP)
|
100% |
6221
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
7227
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
4833
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10179
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11308
87.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
11225
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26542
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30589
39.3 IPS |
|
|
Style Transfer (Q)
|
100% |
30498
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6579
242.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4926
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
1082
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
493
657.4 IPS |
|
|
Text Classification (Q)
|
93% |
495
664.5 IPS |
|
|
Machine Translation (SP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
928
16.0 IPS |
