MacBook Air (15-inch, 2023)
Geekbench ML Score
5345
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 21 2024 04:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3313
619.9 IPS |
|
|
Image Classification (F16)
|
100% |
3319
621.1 IPS |
|
|
Image Classification (I8)
|
99% |
2956
553.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1354
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1409
23.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1382
23.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23359
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
24956
30.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
24184
29.3 IPS |
|
|
Object Detection (F32)
|
100% |
2868
214.1 IPS |
|
|
Object Detection (F16)
|
100% |
2884
215.3 IPS |
|
|
Object Detection (I8)
|
97% |
1086
81.1 IPS |
|
|
Face Detection (F32)
|
100% |
9013
107.2 IPS |
|
|
Face Detection (F16)
|
98% |
10139
120.6 IPS |
|
|
Face Detection (I8)
|
97% |
9962
118.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16220
125.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17458
135.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
15540
120.5 IPS |
|
|
Style Transfer (F32)
|
100% |
41372
54.4 IPS |
|
|
Style Transfer (F16)
|
100% |
46961
61.8 IPS |
|
|
Style Transfer (I8)
|
100% |
46758
61.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6996
249.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7001
250.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6966
248.8 IPS |
|
|
Text Classification (F32)
|
100% |
2015
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3290
4.73 KIPS |
|
|
Text Classification (I8)
|
96% |
3304
4.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
721
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
672
12.4 IPS |
|
|
Machine Translation (I8)
|
99% |
484
8.90 IPS |
