MacBook Air (2022)
Geekbench ML Score
3450
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | ivorocc |
| Upload Date | August 20 2024 02:09 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 3.24 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% |
1079
201.8 IPS |
|
|
Image Classification (F16)
|
100% |
2192
410.1 IPS |
|
|
Image Classification (I8)
|
99% |
2265
423.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
726
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1040
17.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1021
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5883
7.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
13388
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
12767
15.5 IPS |
|
|
Object Detection (F32)
|
100% |
1267
94.6 IPS |
|
|
Object Detection (F16)
|
100% |
2300
171.7 IPS |
|
|
Object Detection (I8)
|
97% |
1294
96.6 IPS |
|
|
Face Detection (F32)
|
100% |
2654
31.6 IPS |
|
|
Face Detection (F16)
|
97% |
5014
59.6 IPS |
|
|
Face Detection (I8)
|
97% |
4393
52.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4614
35.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10499
81.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
10024
77.7 IPS |
|
|
Style Transfer (F32)
|
100% |
15625
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
23809
31.3 IPS |
|
|
Style Transfer (I8)
|
100% |
24283
31.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3830
136.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3683
131.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4673
166.9 IPS |
|
|
Text Classification (F32)
|
100% |
1978
2.84 KIPS |
|
|
Text Classification (F16)
|
100% |
3295
4.74 KIPS |
|
|
Text Classification (I8)
|
96% |
3058
4.39 KIPS |
|
|
Machine Translation (F32)
|
100% |
1287
23.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1563
28.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1291
23.8 IPS |
