MacBook Air (2022)
Geekbench ML Score
5024
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Mint_roo |
| Upload Date | May 08 2024 03:22 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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% |
2487
465.4 IPS |
|
|
Image Classification (F16)
|
100% |
4810
900.1 IPS |
|
|
Image Classification (I8)
|
99% |
5076
949.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
950
15.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1023
17.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1019
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
17017
20.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
53952
65.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
56566
68.5 IPS |
|
|
Object Detection (F32)
|
100% |
2047
152.8 IPS |
|
|
Object Detection (F16)
|
100% |
2968
221.6 IPS |
|
|
Object Detection (I8)
|
97% |
1961
146.4 IPS |
|
|
Face Detection (F32)
|
100% |
7620
90.6 IPS |
|
|
Face Detection (F16)
|
97% |
7723
91.8 IPS |
|
|
Face Detection (I8)
|
96% |
7804
92.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12710
98.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
31139
241.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
29913
232.0 IPS |
|
|
Style Transfer (F32)
|
100% |
33129
43.6 IPS |
|
|
Style Transfer (F16)
|
100% |
103483
136.1 IPS |
|
|
Style Transfer (I8)
|
100% |
105239
138.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5325
190.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13183
470.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13328
476.0 IPS |
|
|
Text Classification (F32)
|
100% |
314
450.6 IPS |
|
|
Text Classification (F16)
|
100% |
338
485.3 IPS |
|
|
Text Classification (I8)
|
96% |
338
486.4 IPS |
|
|
Machine Translation (F32)
|
100% |
521
9.60 IPS |
|
|
Machine Translation (F16)
|
100% |
1680
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
504
9.28 IPS |
