MacBook Air (2022)
Geekbench ML Score
6593
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 15 2024 01:38 PM |
| 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 | 3.30 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3125
584.7 IPS |
|
|
Image Classification (F16)
|
100% |
6609
1.24 KIPS |
|
|
Image Classification (I8)
|
99% |
7195
1.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1241
20.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1483
24.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1485
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
19134
23.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
79116
95.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
80051
96.9 IPS |
|
|
Object Detection (F32)
|
100% |
2683
200.3 IPS |
|
|
Object Detection (F16)
|
100% |
4829
360.5 IPS |
|
|
Object Detection (I8)
|
97% |
2386
178.2 IPS |
|
|
Face Detection (F32)
|
100% |
8275
98.4 IPS |
|
|
Face Detection (F16)
|
97% |
11136
132.4 IPS |
|
|
Face Detection (I8)
|
96% |
10301
122.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
13871
107.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
37307
289.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
43298
335.8 IPS |
|
|
Style Transfer (F32)
|
100% |
29094
38.3 IPS |
|
|
Style Transfer (F16)
|
100% |
127881
168.2 IPS |
|
|
Style Transfer (I8)
|
100% |
117986
155.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7026
250.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16395
585.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15735
561.9 IPS |
|
|
Text Classification (F32)
|
100% |
682
979.7 IPS |
|
|
Text Classification (F16)
|
100% |
474
680.8 IPS |
|
|
Text Classification (I8)
|
96% |
447
642.0 IPS |
|
|
Machine Translation (F32)
|
100% |
744
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1910
35.1 IPS |
|
|
Machine Translation (I8)
|
99% |
708
13.0 IPS |
