MacBook Air (Late 2020)
Geekbench AI Score
467
Single Precision Score
5320
Half Precision Score
4226
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 05:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 1.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
2864
532.7 IPS |
|
|
Image Classification (Q)
|
96% |
2517
470.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
157
2.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
145
2.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
1127
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
24489
28.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25553
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
99% |
2916
232.0 IPS |
|
|
Object Detection (Q)
|
93% |
2833
226.0 IPS |
|
|
Face Detection (SP)
|
100% |
604
7.18 IPS |
|
|
Face Detection (HP)
|
100% |
4985
59.2 IPS |
|
|
Face Detection (Q)
|
100% |
6151
73.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
924
7.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
18746
144.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
21590
168.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2668
3.43 IPS |
|
|
Style Transfer (HP)
|
100% |
46150
59.3 IPS |
|
|
Style Transfer (Q)
|
96% |
50417
65.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
589
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7761
286.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8814
325.5 IPS |
|
|
Text Classification (SP)
|
100% |
123
164.8 IPS |
|
|
Text Classification (HP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (Q)
|
93% |
1635
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
714
12.3 IPS |
