MacBook Air (Late 2020)
Geekbench AI Score
491
Single Precision Score
5298
Half Precision Score
4150
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 05:04 AM |
| Views | 8 |
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 | 1.74 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
252
46.8 IPS |
|
|
Image Classification (HP)
|
100% |
2760
513.3 IPS |
|
|
Image Classification (Q)
|
96% |
2156
402.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
141
2.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
138
2.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
1350
1.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
25247
29.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
25762
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
264
21.0 IPS |
|
|
Object Detection (HP)
|
99% |
3031
241.1 IPS |
|
|
Object Detection (Q)
|
93% |
2780
221.8 IPS |
|
|
Face Detection (SP)
|
100% |
536
6.37 IPS |
|
|
Face Detection (HP)
|
100% |
5232
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
5504
65.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
910
7.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
19220
148.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
21758
170.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2171
2.79 IPS |
|
|
Style Transfer (HP)
|
100% |
51660
66.4 IPS |
|
|
Style Transfer (Q)
|
96% |
50875
65.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
787
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7705
284.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10107
373.2 IPS |
|
|
Text Classification (SP)
|
100% |
149
198.4 IPS |
|
|
Text Classification (HP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1630
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
98% |
709
12.2 IPS |
