MacBook Air (Late 2020)
Geekbench AI Score
3211
Single Precision Score
15367
Half Precision Score
14838
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 07 2024 12:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (HP)
|
100% |
6034
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5717
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9462
153.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9896
160.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6492
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
69164
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65601
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
7158
569.4 IPS |
|
|
Object Detection (Q)
|
91% |
6382
510.0 IPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
15604
185.4 IPS |
|
|
Face Detection (Q)
|
100% |
12938
153.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5812
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47282
364.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
47257
369.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16663
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
121308
155.9 IPS |
|
|
Style Transfer (Q)
|
96% |
114875
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3726
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23643
873.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24122
890.7 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3864
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3864
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3179
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3338
57.7 IPS |
