MacBook Air (Late 2020)
Geekbench AI Score
2834
Single Precision Score
4274
Half Precision Score
3715
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | moham96 |
| Upload Date | June 07 2025 09:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
1697
315.6 IPS |
|
|
Image Classification (Q)
|
96% |
1288
240.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1680
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5856
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13549
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11705
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
97% |
1949
155.2 IPS |
|
|
Object Detection (Q)
|
94% |
1527
121.7 IPS |
|
|
Face Detection (SP)
|
100% |
2373
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
2632
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5223
40.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8165
63.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6151
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15573
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23948
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20764
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3374
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4310
159.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3372
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3698
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3083
53.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3092
53.4 IPS |
