MacBook Air (Late 2020)
Geekbench AI Score
3033
Single Precision Score
14145
Half Precision Score
14394
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | GabrielCavalcanti__ |
| Upload Date | October 04 2024 07:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
6326
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6635
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7520
121.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
8032
130.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6351
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
67739
79.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
64501
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (HP)
|
99% |
7059
561.5 IPS |
|
|
Object Detection (Q)
|
91% |
6763
540.4 IPS |
|
|
Face Detection (SP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
12864
152.8 IPS |
|
|
Face Detection (Q)
|
100% |
13398
159.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5663
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
44032
339.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
47105
364.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16269
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
118421
152.2 IPS |
|
|
Style Transfer (Q)
|
100% |
123806
159.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23325
861.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23934
886.7 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3800
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2327
40.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2312
39.9 IPS |
