MacBook Air (2022)
Geekbench ML Score
3448
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 19 2024 08:33 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1487
278.2 IPS |
|
|
Image Classification (F16)
|
100% |
1857
347.5 IPS |
|
|
Image Classification (I8)
|
99% |
1858
347.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
796
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
815
13.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
807
13.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5898
7.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
13922
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13904
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1478
110.3 IPS |
|
|
Object Detection (F16)
|
100% |
2041
152.4 IPS |
|
|
Object Detection (I8)
|
97% |
1478
110.4 IPS |
|
|
Face Detection (F32)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (F16)
|
97% |
4258
50.6 IPS |
|
|
Face Detection (I8)
|
97% |
4236
50.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5302
41.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8584
66.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8590
66.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16807
22.1 IPS |
|
|
Style Transfer (F16)
|
100% |
26422
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26460
34.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3742
133.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5029
179.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4926
175.9 IPS |
|
|
Text Classification (F32)
|
100% |
2094
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
2928
4.21 KIPS |
|
|
Text Classification (I8)
|
96% |
2929
4.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
1268
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1534
28.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1311
24.1 IPS |
