MacBook Air (Late 2020)
Geekbench AI Score
2836
Single Precision Score
4294
Half Precision Score
3533
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | fmcpherson |
| Upload Date | August 16 2024 02:17 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
1695
315.2 IPS |
|
|
Image Classification (Q)
|
99% |
1689
314.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1160
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5854
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13536
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11584
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.6 IPS |
|
|
Object Detection (HP)
|
97% |
1950
155.2 IPS |
|
|
Object Detection (Q)
|
94% |
1526
121.7 IPS |
|
|
Face Detection (SP)
|
100% |
2399
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4075
48.4 IPS |
|
|
Face Detection (Q)
|
100% |
2656
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5240
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8215
63.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
3532
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15627
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24834
31.9 IPS |
|
|
Style Transfer (Q)
|
100% |
24817
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3373
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4362
161.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3359
124.4 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3628
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1775
30.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3065
53.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3084
53.3 IPS |
