MacBook Air (2022)
Geekbench ML Score
9155
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:42 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
3032
567.4 IPS |
|
|
Image Classification (F16)
|
100% |
11259
2.11 KIPS |
|
|
Image Classification (I8)
|
99% |
12041
2.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1295
21.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1859
31.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1814
30.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
18941
22.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
88294
106.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
96954
117.4 IPS |
|
|
Object Detection (F32)
|
100% |
2619
195.5 IPS |
|
|
Object Detection (F16)
|
100% |
5127
382.7 IPS |
|
|
Object Detection (I8)
|
97% |
2447
182.7 IPS |
|
|
Face Detection (F32)
|
100% |
8350
99.3 IPS |
|
|
Face Detection (F16)
|
97% |
20048
238.4 IPS |
|
|
Face Detection (I8)
|
96% |
20349
242.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
13302
103.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
50964
395.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
48281
374.4 IPS |
|
|
Style Transfer (F32)
|
100% |
34945
46.0 IPS |
|
|
Style Transfer (F16)
|
100% |
145816
191.8 IPS |
|
|
Style Transfer (I8)
|
100% |
145810
191.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5851
208.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33915
1.21 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34694
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2046
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3350
4.81 KIPS |
|
|
Text Classification (I8)
|
96% |
3317
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
668
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1821
33.5 IPS |
|
|
Machine Translation (I8)
|
99% |
470
8.64 IPS |
