MacBook Air (Late 2020)
Geekbench AI Score
3961
Single Precision Score
4241
Half Precision Score
1469
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | moham96 |
| Upload Date | June 07 2025 09:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1872
348.1 IPS |
|
|
Image Classification (HP)
|
100% |
1927
358.4 IPS |
|
|
Image Classification (Q)
|
97% |
1672
312.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3178
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3167
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15365
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16454
19.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
14867
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2239
177.6 IPS |
|
|
Object Detection (HP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (Q)
|
92% |
1834
146.4 IPS |
|
|
Face Detection (SP)
|
100% |
5927
70.4 IPS |
|
|
Face Detection (HP)
|
100% |
6943
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4783
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9956
76.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10700
82.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26046
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29949
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28149
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5836
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6568
242.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5031
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
744
993.7 IPS |
|
|
Text Classification (HP)
|
100% |
600
800.6 IPS |
|
|
Text Classification (Q)
|
93% |
513
688.7 IPS |
|
|
Machine Translation (SP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
936
16.2 IPS |
