MacBook Air (Late 2020)
Geekbench AI Score
818
Single Precision Score
7411
Half Precision Score
5760
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 30 2024 10:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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 | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (HP)
|
100% |
6046
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
4937
921.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
3711
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
281
4.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
2995
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
45967
53.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
45956
53.9 IPS |
|
|
Object Detection (SP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (HP)
|
99% |
4890
389.0 IPS |
|
|
Object Detection (Q)
|
93% |
4727
377.2 IPS |
|
|
Face Detection (SP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
9015
107.1 IPS |
|
|
Face Detection (Q)
|
100% |
9148
108.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1984
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
25000
192.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
25219
197.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4553
5.85 IPS |
|
|
Style Transfer (HP)
|
100% |
50554
65.0 IPS |
|
|
Style Transfer (Q)
|
96% |
56540
73.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
782
28.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8396
310.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9153
338.0 IPS |
|
|
Text Classification (SP)
|
100% |
148
197.5 IPS |
|
|
Text Classification (HP)
|
100% |
1445
1.93 KIPS |
|
|
Text Classification (Q)
|
93% |
1575
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
401
6.90 IPS |
|
|
Machine Translation (HP)
|
100% |
717
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
710
12.3 IPS |
