MacBook Air (Late 2020)
Geekbench AI Score
444
Single Precision Score
5152
Half Precision Score
3910
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 06 2024 12:56 PM |
| 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 | 1.64 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
273
50.8 IPS |
|
|
Image Classification (HP)
|
100% |
3362
625.2 IPS |
|
|
Image Classification (Q)
|
96% |
2461
459.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
140
2.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
1030
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
23274
27.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
22411
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (HP)
|
99% |
2917
232.0 IPS |
|
|
Object Detection (Q)
|
93% |
2908
232.1 IPS |
|
|
Face Detection (SP)
|
100% |
500
5.94 IPS |
|
|
Face Detection (HP)
|
100% |
5612
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
5857
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
874
6.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
18197
140.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20236
158.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2439
3.14 IPS |
|
|
Style Transfer (HP)
|
100% |
52452
67.4 IPS |
|
|
Style Transfer (Q)
|
96% |
44242
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
601
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7275
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8438
311.6 IPS |
|
|
Text Classification (SP)
|
100% |
150
199.7 IPS |
|
|
Text Classification (HP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (Q)
|
93% |
1358
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
291
5.00 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.93 IPS |
|
|
Machine Translation (Q)
|
98% |
620
10.7 IPS |
