MacBook Air (2022)
Geekbench ML Score
6804
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 15 2024 01:16 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 | 3.48 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3100
580.1 IPS |
|
|
Image Classification (F16)
|
100% |
6574
1.23 KIPS |
|
|
Image Classification (I8)
|
99% |
6936
1.30 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1359
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1590
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1593
26.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
18700
22.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
81057
98.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
82210
99.6 IPS |
|
|
Object Detection (F32)
|
100% |
2677
199.9 IPS |
|
|
Object Detection (F16)
|
100% |
4243
316.8 IPS |
|
|
Object Detection (I8)
|
97% |
2423
180.9 IPS |
|
|
Face Detection (F32)
|
100% |
8352
99.3 IPS |
|
|
Face Detection (F16)
|
97% |
10583
125.8 IPS |
|
|
Face Detection (I8)
|
96% |
10533
125.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
13345
103.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
34377
266.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
40536
314.4 IPS |
|
|
Style Transfer (F32)
|
100% |
34575
45.5 IPS |
|
|
Style Transfer (F16)
|
100% |
131702
173.2 IPS |
|
|
Style Transfer (I8)
|
100% |
132192
173.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6067
216.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18303
653.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17787
635.2 IPS |
|
|
Text Classification (F32)
|
100% |
1155
1.66 KIPS |
|
|
Text Classification (F16)
|
100% |
577
829.2 IPS |
|
|
Text Classification (I8)
|
96% |
575
825.7 IPS |
|
|
Machine Translation (F32)
|
100% |
640
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1924
35.4 IPS |
|
|
Machine Translation (I8)
|
99% |
595
10.9 IPS |
