MacBook Air (Late 2020)
Geekbench AI Score
3230
Single Precision Score
14676
Half Precision Score
14166
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 12:23 AM |
| Views | 2 |
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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
6476
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6115
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6693
108.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6826
110.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6518
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
68970
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66935
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7220
574.4 IPS |
|
|
Object Detection (Q)
|
91% |
6770
541.0 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16856
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
13714
163.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5808
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48509
373.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
49532
387.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16713
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122109
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115517
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3726
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23429
865.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24138
891.3 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4008
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3997
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2292
39.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2273
39.3 IPS |
