MacBook Air (Late 2020)
Geekbench AI Score
3198
Single Precision Score
13848
Half Precision Score
14099
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | lpsnogueira |
| Upload Date | August 15 2024 09:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
6309
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
6567
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6165
99.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
6173
100.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6518
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
67569
78.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
64498
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
6975
554.8 IPS |
|
|
Object Detection (Q)
|
91% |
6709
536.0 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
13026
154.8 IPS |
|
|
Face Detection (Q)
|
100% |
14211
168.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5782
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44033
339.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
47142
364.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16655
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
118427
152.2 IPS |
|
|
Style Transfer (Q)
|
100% |
124388
159.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3702
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23524
868.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23949
887.3 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3862
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2293
39.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2296
39.7 IPS |
