MacBook Air (Late 2020)
Geekbench AI Score
484
Single Precision Score
5282
Half Precision Score
4193
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 04:59 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 | 1.73 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
277
51.5 IPS |
|
|
Image Classification (HP)
|
100% |
2748
511.0 IPS |
|
|
Image Classification (Q)
|
96% |
2390
446.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
142
2.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
1273
1.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
23944
27.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
25985
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (HP)
|
99% |
2977
236.8 IPS |
|
|
Object Detection (Q)
|
93% |
2701
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (HP)
|
100% |
4919
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
5715
67.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
827
6.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
19103
147.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21605
168.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2198
2.83 IPS |
|
|
Style Transfer (HP)
|
100% |
51131
65.7 IPS |
|
|
Style Transfer (Q)
|
96% |
46219
59.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
723
26.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8518
314.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8803
325.0 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.8 IPS |
|
|
Text Classification (HP)
|
100% |
1650
2.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1657
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (HP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
849
14.7 IPS |
