MacBook Air (Late 2020)
Geekbench AI Score
2944
Single Precision Score
14187
Half Precision Score
13834
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | EthanLallak |
| Upload Date | September 23 2024 05:24 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1190
221.4 IPS |
|
|
Image Classification (HP)
|
100% |
5488
1.02 KIPS |
|
|
Image Classification (Q)
|
96% |
5838
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1212
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6245
101.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6206
100.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6033
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
66364
77.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
63724
74.7 IPS |
|
|
Object Detection (SP)
|
100% |
1297
102.9 IPS |
|
|
Object Detection (HP)
|
99% |
7093
564.3 IPS |
|
|
Object Detection (Q)
|
91% |
6685
534.2 IPS |
|
|
Face Detection (SP)
|
100% |
2609
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
16325
194.0 IPS |
|
|
Face Detection (Q)
|
100% |
14149
168.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5516
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47120
363.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47703
372.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14400
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120292
154.6 IPS |
|
|
Style Transfer (Q)
|
96% |
113138
146.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3615
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23849
880.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24240
895.1 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4119
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4100
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2253
38.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2193
37.9 IPS |
