MacBook Air (Late 2020)
Geekbench AI Score
3211
Single Precision Score
16574
Half Precision Score
16289
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | chrisbench01 |
| Upload Date | December 14 2024 06:48 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
6410
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6028
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9718
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10059
163.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6444
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
69310
80.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66953
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.1 IPS |
|
|
Object Detection (HP)
|
99% |
7390
587.9 IPS |
|
|
Object Detection (Q)
|
91% |
6894
550.8 IPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16849
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15383
182.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
49686
382.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
49947
390.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16654
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
122379
157.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116655
150.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3715
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23983
885.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24944
921.1 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3974
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3986
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5022
86.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5274
91.1 IPS |
