MacBook Air (Late 2020)
Geekbench AI Score
4884
Single Precision Score
5634
Half Precision Score
5261
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | LEFTERIS733 |
| Upload Date | August 02 2025 08:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2106
391.6 IPS |
|
|
Image Classification (HP)
|
100% |
2287
425.4 IPS |
|
|
Image Classification (Q)
|
96% |
2163
403.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3620
58.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3776
61.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3648
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15608
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17238
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16815
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2385
189.2 IPS |
|
|
Object Detection (HP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (Q)
|
92% |
2226
177.6 IPS |
|
|
Face Detection (SP)
|
100% |
6451
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
7439
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
6438
76.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10060
77.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11739
90.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10718
83.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26852
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31202
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30221
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6137
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6809
251.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5780
213.4 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4185
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4090
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1110
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1116
19.3 IPS |
