MacBook Air (2022)
Geekbench ML Score
6554
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 06:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F5074a) |
| 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 | 3.46 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% |
3020
565.1 IPS |
|
|
Image Classification (F16)
|
100% |
6510
1.22 KIPS |
|
|
Image Classification (I8)
|
99% |
6970
1.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1216
20.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1461
24.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1419
23.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
16993
20.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
82516
99.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
84295
102.1 IPS |
|
|
Object Detection (F32)
|
100% |
2475
184.8 IPS |
|
|
Object Detection (F16)
|
100% |
4250
317.3 IPS |
|
|
Object Detection (I8)
|
97% |
2342
174.9 IPS |
|
|
Face Detection (F32)
|
100% |
8219
97.7 IPS |
|
|
Face Detection (F16)
|
97% |
10372
123.3 IPS |
|
|
Face Detection (I8)
|
96% |
10564
125.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12404
96.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
38848
301.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
36155
280.4 IPS |
|
|
Style Transfer (F32)
|
100% |
33715
44.3 IPS |
|
|
Style Transfer (F16)
|
100% |
131191
172.6 IPS |
|
|
Style Transfer (I8)
|
100% |
132333
174.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5167
184.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18271
652.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19017
679.1 IPS |
|
|
Text Classification (F32)
|
100% |
704
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
630
905.1 IPS |
|
|
Text Classification (I8)
|
96% |
623
895.3 IPS |
|
|
Machine Translation (F32)
|
100% |
625
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1892
34.8 IPS |
|
|
Machine Translation (I8)
|
99% |
578
10.6 IPS |
