MacBook Air (15-inch, 2023)
Geekbench ML Score
3487
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 06:23 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.47 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1489
278.7 IPS |
|
|
Image Classification (F16)
|
100% |
1900
355.5 IPS |
|
|
Image Classification (I8)
|
99% |
1895
354.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
808
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
808
13.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
800
13.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5870
7.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
13827
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13979
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1495
111.6 IPS |
|
|
Object Detection (F16)
|
100% |
2046
152.7 IPS |
|
|
Object Detection (I8)
|
97% |
1489
111.2 IPS |
|
|
Face Detection (F32)
|
100% |
2827
33.6 IPS |
|
|
Face Detection (F16)
|
97% |
4339
51.6 IPS |
|
|
Face Detection (I8)
|
97% |
4305
51.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5351
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8687
67.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8717
67.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16849
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
26521
34.9 IPS |
|
|
Style Transfer (I8)
|
100% |
26548
34.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3762
134.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4946
176.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4999
178.5 IPS |
|
|
Text Classification (F32)
|
100% |
2110
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3219
4.63 KIPS |
|
|
Text Classification (I8)
|
96% |
3217
4.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
1283
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1551
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1268
23.3 IPS |
