MacBook Air (Late 2020)
Geekbench AI Score
2196
Single Precision Score
3592
Half Precision Score
2898
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 05:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
873
162.4 IPS |
|
|
Image Classification (HP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (Q)
|
96% |
992
185.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1692
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4224
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
9172
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
7867
9.22 IPS |
|
|
Object Detection (SP)
|
100% |
1018
80.7 IPS |
|
|
Object Detection (HP)
|
97% |
1621
129.1 IPS |
|
|
Object Detection (Q)
|
94% |
1159
92.4 IPS |
|
|
Face Detection (SP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
3806
45.2 IPS |
|
|
Face Detection (Q)
|
100% |
2116
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3806
29.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
7274
56.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4985
39.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11373
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17357
22.3 IPS |
|
|
Style Transfer (Q)
|
96% |
14378
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2538
93.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3005
111.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2207
81.5 IPS |
|
|
Text Classification (SP)
|
100% |
1569
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2665
3.56 KIPS |
|
|
Text Classification (Q)
|
93% |
2643
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1900
32.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2887
49.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3093
53.4 IPS |
