MacBook Air (Late 2020)
Geekbench AI Score
433
Single Precision Score
5039
Half Precision Score
4033
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 01 2024 09:53 AM |
| Views | 13 |
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 | 1.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (HP)
|
100% |
2586
481.0 IPS |
|
|
Image Classification (Q)
|
96% |
2474
461.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
125
2.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
134
2.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
1067
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
22573
26.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
21357
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.4 IPS |
|
|
Object Detection (HP)
|
99% |
2824
224.6 IPS |
|
|
Object Detection (Q)
|
93% |
2571
205.2 IPS |
|
|
Face Detection (SP)
|
100% |
487
5.78 IPS |
|
|
Face Detection (HP)
|
100% |
5635
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
4628
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
636
4.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
18778
144.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
20290
158.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2177
2.80 IPS |
|
|
Style Transfer (HP)
|
100% |
33097
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
50152
64.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
749
27.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8514
314.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8780
324.2 IPS |
|
|
Text Classification (SP)
|
100% |
194
258.4 IPS |
|
|
Text Classification (HP)
|
100% |
1628
2.17 KIPS |
|
|
Text Classification (Q)
|
93% |
1144
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1325
22.9 IPS |
