MacBook Air (Late 2020)
Geekbench AI Score
405
Single Precision Score
5353
Half Precision Score
4098
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 11:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 1.59 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
248
46.1 IPS |
|
|
Image Classification (HP)
|
100% |
2716
505.0 IPS |
|
|
Image Classification (Q)
|
96% |
2077
387.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
134
2.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
1021
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
26930
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26282
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
99% |
2973
236.5 IPS |
|
|
Object Detection (Q)
|
93% |
2789
222.5 IPS |
|
|
Face Detection (SP)
|
100% |
480
5.70 IPS |
|
|
Face Detection (HP)
|
100% |
5314
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
5929
70.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
740
5.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
19448
149.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
22806
178.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2135
2.74 IPS |
|
|
Style Transfer (HP)
|
100% |
49468
63.6 IPS |
|
|
Style Transfer (Q)
|
96% |
48309
62.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7155
264.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8879
327.9 IPS |
|
|
Text Classification (SP)
|
100% |
118
157.7 IPS |
|
|
Text Classification (HP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (Q)
|
93% |
1594
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
804
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
709
12.2 IPS |
