MacBook Air (2022)
Geekbench ML Score
6881
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 05 2024 03:16 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3495
654.0 IPS |
|
|
Image Classification (F16)
|
100% |
6709
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
6584
1.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1179
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1585
26.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1552
25.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
22770
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
82989
100.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
84926
102.8 IPS |
|
|
Object Detection (F32)
|
100% |
1205
90.0 IPS |
|
|
Object Detection (F16)
|
100% |
3870
288.9 IPS |
|
|
Object Detection (I8)
|
97% |
1803
134.6 IPS |
|
|
Face Detection (F32)
|
100% |
9052
107.6 IPS |
|
|
Face Detection (F16)
|
97% |
14230
169.2 IPS |
|
|
Face Detection (I8)
|
96% |
14326
170.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16367
126.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
38214
296.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
48657
377.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41052
54.0 IPS |
|
|
Style Transfer (F16)
|
100% |
134385
176.8 IPS |
|
|
Style Transfer (I8)
|
100% |
135620
178.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7408
264.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18393
656.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16728
597.4 IPS |
|
|
Text Classification (F32)
|
100% |
647
930.2 IPS |
|
|
Text Classification (F16)
|
100% |
589
846.0 IPS |
|
|
Text Classification (I8)
|
96% |
565
811.4 IPS |
|
|
Machine Translation (F32)
|
100% |
691
12.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2450
45.1 IPS |
|
|
Machine Translation (I8)
|
99% |
640
11.8 IPS |
