MacBook Air (2022)
Geekbench ML Score
6665
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | August 17 2024 12:57 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| 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 | 3.38 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3194
597.7 IPS |
|
|
Image Classification (F16)
|
100% |
5965
1.12 KIPS |
|
|
Image Classification (I8)
|
99% |
7049
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1045
17.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1255
21.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1331
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
18507
22.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
83964
101.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
83589
101.2 IPS |
|
|
Object Detection (F32)
|
100% |
2525
188.5 IPS |
|
|
Object Detection (F16)
|
100% |
3895
290.8 IPS |
|
|
Object Detection (I8)
|
97% |
2241
167.3 IPS |
|
|
Face Detection (F32)
|
100% |
8055
95.8 IPS |
|
|
Face Detection (F16)
|
97% |
10216
121.5 IPS |
|
|
Face Detection (I8)
|
96% |
10518
125.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
13226
102.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
34287
265.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
45801
355.2 IPS |
|
|
Style Transfer (F32)
|
100% |
34332
45.2 IPS |
|
|
Style Transfer (F16)
|
100% |
122862
161.6 IPS |
|
|
Style Transfer (I8)
|
100% |
120344
158.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7741
276.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19389
692.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15698
560.6 IPS |
|
|
Text Classification (F32)
|
100% |
1110
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
634
911.4 IPS |
|
|
Text Classification (I8)
|
96% |
626
899.1 IPS |
|
|
Machine Translation (F32)
|
100% |
666
12.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2032
37.4 IPS |
|
|
Machine Translation (I8)
|
99% |
604
11.1 IPS |
