MacBook Air (Late 2020)
Geekbench AI Score
2197
Single Precision Score
3513
Half Precision Score
2855
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | justincoolio |
| Upload Date | November 21 2024 12:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
930
173.0 IPS |
|
|
Image Classification (HP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (Q)
|
96% |
978
182.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1669
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4279
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
9049
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
7772
9.11 IPS |
|
|
Object Detection (SP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (HP)
|
97% |
1620
129.0 IPS |
|
|
Object Detection (Q)
|
94% |
1162
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
3691
43.9 IPS |
|
|
Face Detection (Q)
|
100% |
2068
24.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3748
28.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7085
54.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4799
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11311
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17096
22.0 IPS |
|
|
Style Transfer (Q)
|
96% |
14171
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2523
93.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2842
104.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2145
79.2 IPS |
|
|
Text Classification (SP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2635
3.52 KIPS |
|
|
Text Classification (Q)
|
93% |
2628
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1855
32.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2831
48.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3081
53.3 IPS |
