MacBook Air (Late 2020)
Geekbench AI Score
3217
Single Precision Score
16489
Half Precision Score
16111
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | theostrdex |
| Upload Date | November 23 2024 08:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
6387
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6019
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9739
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10052
162.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6552
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
69117
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67111
78.7 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7320
582.3 IPS |
|
|
Object Detection (Q)
|
91% |
6718
536.8 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16861
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
15503
184.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5500
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
48272
371.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
48915
382.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16762
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122167
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115472
149.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3742
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23635
872.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24206
893.8 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4084
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4026
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2523
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4920
84.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5063
87.5 IPS |
