MacBook Air (2022)
Geekbench ML Score
6861
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 21 2024 02:11 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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 | 1.95 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% |
2443
457.1 IPS |
|
|
Image Classification (F16)
|
100% |
8665
1.62 KIPS |
|
|
Image Classification (I8)
|
99% |
9255
1.73 KIPS |
|
|
Image Segmentation (F32)
|
100% |
949
15.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1125
18.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1128
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
12609
15.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
61657
74.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
62367
75.5 IPS |
|
|
Object Detection (F32)
|
100% |
2163
161.5 IPS |
|
|
Object Detection (F16)
|
100% |
3747
279.7 IPS |
|
|
Object Detection (I8)
|
97% |
1533
114.5 IPS |
|
|
Face Detection (F32)
|
100% |
7596
90.3 IPS |
|
|
Face Detection (F16)
|
97% |
14061
167.2 IPS |
|
|
Face Detection (I8)
|
96% |
14258
169.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
11918
92.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
44864
347.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
46103
357.5 IPS |
|
|
Style Transfer (F32)
|
100% |
34094
44.8 IPS |
|
|
Style Transfer (F16)
|
100% |
112383
147.8 IPS |
|
|
Style Transfer (I8)
|
100% |
112579
148.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4932
176.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25108
896.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
25154
898.3 IPS |
|
|
Text Classification (F32)
|
100% |
1378
1.98 KIPS |
|
|
Text Classification (F16)
|
100% |
2142
3.08 KIPS |
|
|
Text Classification (I8)
|
96% |
2136
3.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
435
8.01 IPS |
|
|
Machine Translation (F16)
|
100% |
1571
28.9 IPS |
|
|
Machine Translation (I8)
|
99% |
400
7.36 IPS |
