MacBook Air (15-inch, 2023)
Geekbench ML Score
1918
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 09 2024 10:51 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| Model | MacBook Air (15-inch, 2023) |
| Model ID | Mac14,15 |
| Motherboard | Mac14,15 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1124
210.4 IPS |
|
|
Image Classification (F16)
|
100% |
1083
202.7 IPS |
|
|
Image Classification (I8)
|
99% |
1097
205.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
538
8.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
481
8.03 IPS |
|
|
Image Segmentation (I8)
|
100% |
484
8.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
5694
6.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
11156
13.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11183
13.5 IPS |
|
|
Object Detection (F32)
|
100% |
1188
88.7 IPS |
|
|
Object Detection (F16)
|
100% |
1207
90.1 IPS |
|
|
Object Detection (I8)
|
97% |
1182
88.3 IPS |
|
|
Face Detection (F32)
|
100% |
2090
24.8 IPS |
|
|
Face Detection (F16)
|
100% |
1852
22.0 IPS |
|
|
Face Detection (I8)
|
99% |
1860
22.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
3772
29.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3783
29.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
4018
31.2 IPS |
|
|
Style Transfer (F32)
|
100% |
10938
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
12732
16.7 IPS |
|
|
Style Transfer (I8)
|
100% |
12698
16.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2970
106.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2496
89.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2305
82.3 IPS |
|
|
Text Classification (F32)
|
100% |
526
756.5 IPS |
|
|
Text Classification (F16)
|
100% |
459
660.2 IPS |
|
|
Text Classification (I8)
|
96% |
578
830.9 IPS |
|
|
Machine Translation (F32)
|
100% |
902
16.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1062
19.5 IPS |
|
|
Machine Translation (I8)
|
99% |
917
16.9 IPS |
