MacBook Air (Late 2020)
Geekbench AI Score
518
Single Precision Score
5661
Half Precision Score
4444
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 16 2024 05:09 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 | 1.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (HP)
|
100% |
3309
615.4 IPS |
|
|
Image Classification (Q)
|
96% |
3092
577.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
139
2.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
1351
1.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
27105
31.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
26127
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
99% |
2886
229.5 IPS |
|
|
Object Detection (Q)
|
93% |
2753
219.7 IPS |
|
|
Face Detection (SP)
|
100% |
598
7.11 IPS |
|
|
Face Detection (HP)
|
100% |
5499
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
6033
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
832
6.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
20683
159.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
21879
171.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2569
3.30 IPS |
|
|
Style Transfer (HP)
|
100% |
52169
67.1 IPS |
|
|
Style Transfer (Q)
|
96% |
50330
64.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
971
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7666
283.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9351
345.3 IPS |
|
|
Text Classification (SP)
|
100% |
182
243.6 IPS |
|
|
Text Classification (HP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (Q)
|
93% |
2272
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
690
11.9 IPS |
