MacBook Air (2022)
Geekbench ML Score
6685
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 11 2024 10:08 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3142
588.0 IPS |
|
|
Image Classification (F16)
|
100% |
6750
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
7020
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1329
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1565
26.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1546
25.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
18669
22.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
81498
98.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
81692
98.9 IPS |
|
|
Object Detection (F32)
|
100% |
2625
196.0 IPS |
|
|
Object Detection (F16)
|
100% |
3948
294.7 IPS |
|
|
Object Detection (I8)
|
97% |
2422
180.8 IPS |
|
|
Face Detection (F32)
|
100% |
8372
99.5 IPS |
|
|
Face Detection (F16)
|
97% |
10690
127.1 IPS |
|
|
Face Detection (I8)
|
96% |
10302
122.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
13548
105.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
37372
289.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
43256
335.5 IPS |
|
|
Style Transfer (F32)
|
100% |
34810
45.8 IPS |
|
|
Style Transfer (F16)
|
100% |
130783
172.0 IPS |
|
|
Style Transfer (I8)
|
100% |
134738
177.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5526
197.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18196
649.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18370
656.1 IPS |
|
|
Text Classification (F32)
|
100% |
604
868.1 IPS |
|
|
Text Classification (F16)
|
100% |
602
864.6 IPS |
|
|
Text Classification (I8)
|
96% |
546
784.5 IPS |
|
|
Machine Translation (F32)
|
100% |
647
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2106
38.8 IPS |
|
|
Machine Translation (I8)
|
99% |
613
11.3 IPS |
