MacBook Air (Late 2020)
Geekbench AI Score
3887
Single Precision Score
4260
Half Precision Score
3926
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | atrophyalive |
| Upload Date | December 20 2024 04:10 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2405
447.2 IPS |
|
|
Image Classification (HP)
|
100% |
2062
383.4 IPS |
|
|
Image Classification (Q)
|
97% |
1711
319.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3092
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2938
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8458
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
10017
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10495
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1851
146.8 IPS |
|
|
Object Detection (HP)
|
100% |
1990
157.8 IPS |
|
|
Object Detection (Q)
|
91% |
1637
130.8 IPS |
|
|
Face Detection (SP)
|
100% |
5337
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
5778
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3841
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8122
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8142
62.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8334
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25172
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21637
27.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28268
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6584
243.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7277
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5376
198.5 IPS |
|
|
Text Classification (SP)
|
100% |
1560
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2629
3.51 KIPS |
|
|
Text Classification (Q)
|
93% |
2617
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
792
13.7 IPS |
