MacBook Air (2022)
Geekbench ML Score
6473
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Mint_roo |
| Upload Date | May 08 2024 03:26 AM |
| Views | 3 |
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 | 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% |
3131
585.9 IPS |
|
|
Image Classification (F16)
|
100% |
6662
1.25 KIPS |
|
|
Image Classification (I8)
|
99% |
7032
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1293
21.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1574
26.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1552
25.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
18838
22.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
66149
80.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
85343
103.3 IPS |
|
|
Object Detection (F32)
|
100% |
2540
189.6 IPS |
|
|
Object Detection (F16)
|
100% |
3810
284.4 IPS |
|
|
Object Detection (I8)
|
97% |
1328
99.1 IPS |
|
|
Face Detection (F32)
|
100% |
8349
99.3 IPS |
|
|
Face Detection (F16)
|
97% |
10704
127.3 IPS |
|
|
Face Detection (I8)
|
96% |
10791
128.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
13173
102.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
37591
291.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
41366
320.8 IPS |
|
|
Style Transfer (F32)
|
100% |
34541
45.4 IPS |
|
|
Style Transfer (F16)
|
100% |
127933
168.3 IPS |
|
|
Style Transfer (I8)
|
100% |
126690
166.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5913
211.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19143
683.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16580
592.1 IPS |
|
|
Text Classification (F32)
|
100% |
572
822.2 IPS |
|
|
Text Classification (F16)
|
100% |
591
849.0 IPS |
|
|
Text Classification (I8)
|
96% |
572
821.5 IPS |
|
|
Machine Translation (F32)
|
100% |
646
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2193
40.4 IPS |
|
|
Machine Translation (I8)
|
99% |
599
11.0 IPS |
