MacBook Air (Late 2020)
Geekbench AI Score
3214
Single Precision Score
5401
Half Precision Score
4420
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jobieh |
| Upload Date | May 31 2025 06:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
2210
410.9 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2537
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6484
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14214
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12198
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
97% |
2391
190.3 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5331
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
3137
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5644
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10440
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7355
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16938
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26877
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22294
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3688
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4535
167.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3512
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2379
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4161
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4069
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4499
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4506
77.9 IPS |
