MacBook Air (Late 2020)
Geekbench AI Score
3216
Single Precision Score
5260
Half Precision Score
4398
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | JustinGT86 |
| Upload Date | March 24 2025 07:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
2199
409.0 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2608
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13920
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12053
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
97% |
2436
193.9 IPS |
|
|
Object Detection (Q)
|
94% |
1792
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5477
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3186
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5813
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11070
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7692
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16702
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26284
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21856
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4340
160.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3375
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3643
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4258
73.6 IPS |
