MacBook Air (Late 2020)
Geekbench AI Score
696
Single Precision Score
6700
Half Precision Score
5303
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 16 2024 04:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 2.88 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
701
130.4 IPS |
|
|
Image Classification (HP)
|
100% |
6369
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
4889
913.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
2733
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
133
2.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
1282
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
21429
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25544
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (HP)
|
99% |
3694
293.9 IPS |
|
|
Object Detection (Q)
|
93% |
3465
276.5 IPS |
|
|
Face Detection (SP)
|
100% |
952
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
7924
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
8200
97.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
978
7.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
16984
130.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19029
148.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2250
2.89 IPS |
|
|
Style Transfer (HP)
|
100% |
43103
55.4 IPS |
|
|
Style Transfer (Q)
|
96% |
42082
54.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
669
24.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7296
269.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13966
515.7 IPS |
|
|
Text Classification (SP)
|
100% |
234
311.8 IPS |
|
|
Text Classification (HP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2365
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1411
24.4 IPS |
