MacBook Air (Late 2020)
Geekbench AI Score
584
Single Precision Score
5637
Half Precision Score
4545
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 05:55 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 | 1.53 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
292
54.2 IPS |
|
|
Image Classification (HP)
|
100% |
2494
463.9 IPS |
|
|
Image Classification (Q)
|
96% |
2420
451.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
146
2.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
1764
2.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
30692
35.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
32483
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
370
29.3 IPS |
|
|
Object Detection (HP)
|
99% |
3909
311.0 IPS |
|
|
Object Detection (Q)
|
93% |
3424
273.2 IPS |
|
|
Face Detection (SP)
|
100% |
576
6.84 IPS |
|
|
Face Detection (HP)
|
100% |
4782
56.8 IPS |
|
|
Face Detection (Q)
|
100% |
6018
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
988
7.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
20825
160.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
21901
171.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2787
3.58 IPS |
|
|
Style Transfer (HP)
|
100% |
48670
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
47719
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8030
296.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9420
347.8 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.5 IPS |
|
|
Text Classification (HP)
|
100% |
1646
2.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1763
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
471
8.12 IPS |
|
|
Machine Translation (HP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
917
15.8 IPS |
