MacBook Air (2022)
Geekbench ML Score
8185
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | kvcs |
| Upload Date | August 15 2024 07:34 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.7 (Build 22G720) |
| 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 | 3.47 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3592
672.1 IPS |
|
|
Image Classification (F16)
|
100% |
7830
1.47 KIPS |
|
|
Image Classification (I8)
|
99% |
7709
1.44 KIPS |
|
|
Image Segmentation (F32)
|
100% |
901
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3901
65.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
3709
61.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23766
28.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
90856
110.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
92126
111.6 IPS |
|
|
Object Detection (F32)
|
100% |
2721
203.2 IPS |
|
|
Object Detection (F16)
|
100% |
4509
336.6 IPS |
|
|
Object Detection (I8)
|
97% |
2082
155.4 IPS |
|
|
Face Detection (F32)
|
100% |
9616
114.3 IPS |
|
|
Face Detection (F16)
|
97% |
13379
159.1 IPS |
|
|
Face Detection (I8)
|
96% |
13354
158.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16468
127.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
31595
245.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
31648
245.4 IPS |
|
|
Style Transfer (F32)
|
100% |
41692
54.8 IPS |
|
|
Style Transfer (F16)
|
100% |
105400
138.6 IPS |
|
|
Style Transfer (I8)
|
100% |
105750
139.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6183
220.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14886
531.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15664
559.4 IPS |
|
|
Text Classification (F32)
|
100% |
1063
1.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1469
2.11 KIPS |
|
|
Text Classification (I8)
|
96% |
1547
2.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
1331
24.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2138
39.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1317
24.2 IPS |
