MacBook Air (Late 2020)
Geekbench AI Score
3197
Single Precision Score
5367
Half Precision Score
4411
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | urgui |
| Upload Date | May 08 2025 09:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2211
411.1 IPS |
|
|
Image Classification (Q)
|
96% |
1577
294.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2529
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6487
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14213
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12213
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2381
189.6 IPS |
|
|
Object Detection (Q)
|
94% |
1778
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
2999
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5309
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
3137
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5663
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10431
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7389
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16943
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26945
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22379
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3669
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4439
163.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3485
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4011
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4002
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4464
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4453
77.0 IPS |
