MacBook Air (Late 2020)
Geekbench ML Score
3589
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 23 2024 06:50 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1326
248.1 IPS |
|
|
Image Classification (F16)
|
100% |
1163
217.6 IPS |
|
|
Image Classification (I8)
|
99% |
1231
230.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
809
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
897
15.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
896
15.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
15061
18.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
16205
19.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
15854
19.2 IPS |
|
|
Object Detection (F32)
|
100% |
1516
113.2 IPS |
|
|
Object Detection (F16)
|
100% |
1430
106.8 IPS |
|
|
Object Detection (I8)
|
97% |
1513
113.0 IPS |
|
|
Face Detection (F32)
|
100% |
5751
68.4 IPS |
|
|
Face Detection (F16)
|
98% |
6573
78.2 IPS |
|
|
Face Detection (I8)
|
97% |
6525
77.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
10152
78.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11179
86.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10302
79.9 IPS |
|
|
Style Transfer (F32)
|
100% |
26274
34.6 IPS |
|
|
Style Transfer (F16)
|
100% |
28314
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
30437
40.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4907
175.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5213
186.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5059
180.7 IPS |
|
|
Text Classification (F32)
|
100% |
2126
3.06 KIPS |
|
|
Text Classification (F16)
|
100% |
3613
5.19 KIPS |
|
|
Text Classification (I8)
|
96% |
3620
5.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
485
8.92 IPS |
|
|
Machine Translation (F16)
|
100% |
493
9.08 IPS |
|
|
Machine Translation (I8)
|
99% |
509
9.36 IPS |
