MacBook Air (Late 2020)
Geekbench AI Score
1774
Single Precision Score
12450
Half Precision Score
10122
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | August 22 2025 11:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.8 (Build 23H730) |
| 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% |
1003
186.6 IPS |
|
|
Image Classification (HP)
|
100% |
6423
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5746
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4244
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
515
8.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
5689
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
67573
78.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65511
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1076
85.3 IPS |
|
|
Object Detection (HP)
|
99% |
7185
571.6 IPS |
|
|
Object Detection (Q)
|
93% |
6671
532.3 IPS |
|
|
Face Detection (SP)
|
100% |
1845
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
12251
145.6 IPS |
|
|
Face Detection (Q)
|
100% |
12508
148.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3267
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44818
345.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
51255
400.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9927
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119508
153.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114811
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2542
93.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18083
667.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20914
772.3 IPS |
|
|
Text Classification (SP)
|
100% |
376
502.2 IPS |
|
|
Text Classification (HP)
|
100% |
2477
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2484
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2301
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2283
39.4 IPS |
