MacBook Air (Late 2020)
Geekbench AI Score
440
Single Precision Score
5079
Half Precision Score
4216
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 03:31 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 | 1.52 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (HP)
|
100% |
1757
326.8 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
131
2.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
137
2.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
1145
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
26334
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24678
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
99% |
3048
242.5 IPS |
|
|
Object Detection (Q)
|
93% |
2812
224.4 IPS |
|
|
Face Detection (SP)
|
100% |
470
5.59 IPS |
|
|
Face Detection (HP)
|
100% |
5814
69.1 IPS |
|
|
Face Detection (Q)
|
100% |
5931
70.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
677
5.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
17200
132.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
21732
169.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1993
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
45084
58.0 IPS |
|
|
Style Transfer (Q)
|
96% |
45786
59.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
646
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7900
291.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8710
321.6 IPS |
|
|
Text Classification (SP)
|
100% |
168
224.4 IPS |
|
|
Text Classification (HP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (Q)
|
93% |
1537
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (HP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1016
17.6 IPS |
