MacBook Air (2022)
Geekbench ML Score
6646
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | ozcanar |
| Upload Date | January 20 2024 08:25 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| 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 | 3.44 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% |
3149
589.3 IPS |
|
|
Image Classification (F16)
|
100% |
6656
1.25 KIPS |
|
|
Image Classification (I8)
|
99% |
6999
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1322
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1542
25.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1563
26.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
18496
22.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
83220
100.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
85122
103.1 IPS |
|
|
Object Detection (F32)
|
100% |
2595
193.7 IPS |
|
|
Object Detection (F16)
|
100% |
3975
296.7 IPS |
|
|
Object Detection (I8)
|
97% |
1503
112.2 IPS |
|
|
Face Detection (F32)
|
100% |
8573
101.9 IPS |
|
|
Face Detection (F16)
|
97% |
14413
171.4 IPS |
|
|
Face Detection (I8)
|
96% |
14251
169.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
13320
103.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
34405
266.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
39143
303.6 IPS |
|
|
Style Transfer (F32)
|
100% |
34950
46.0 IPS |
|
|
Style Transfer (F16)
|
100% |
128322
168.8 IPS |
|
|
Style Transfer (I8)
|
100% |
130545
171.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6153
219.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17915
639.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17766
634.5 IPS |
|
|
Text Classification (F32)
|
100% |
456
654.8 IPS |
|
|
Text Classification (F16)
|
100% |
542
779.2 IPS |
|
|
Text Classification (I8)
|
96% |
621
892.5 IPS |
|
|
Machine Translation (F32)
|
100% |
650
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2292
42.2 IPS |
|
|
Machine Translation (I8)
|
99% |
607
11.2 IPS |
