MacBook Air (Late 2020)
Geekbench AI Score
3105
Single Precision Score
16196
Half Precision Score
15973
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Besya |
| Upload Date | November 03 2024 12:09 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
6103
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5927
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1234
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9460
153.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9732
157.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5930
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
68074
79.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66740
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (HP)
|
99% |
7268
578.2 IPS |
|
|
Object Detection (Q)
|
91% |
6692
534.7 IPS |
|
|
Face Detection (SP)
|
100% |
2874
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
16233
192.9 IPS |
|
|
Face Detection (Q)
|
100% |
15412
183.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5771
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
48900
376.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
48953
382.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16374
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121574
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
115283
148.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23720
875.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24290
896.9 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3968
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4738
81.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5008
86.5 IPS |
