MacBook Air (15-inch, 2023)
Geekbench ML Score
1351
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 21 2024 03:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.3 (Build 22E8252) |
| 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 | 1.95 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
703
131.6 IPS |
|
|
Image Classification (F16)
|
100% |
626
117.1 IPS |
|
|
Image Classification (I8)
|
99% |
640
119.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
426
7.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
368
6.15 IPS |
|
|
Image Segmentation (I8)
|
100% |
370
6.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
3827
4.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
6448
7.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
6495
7.87 IPS |
|
|
Object Detection (F32)
|
100% |
777
58.0 IPS |
|
|
Object Detection (F16)
|
100% |
719
53.7 IPS |
|
|
Object Detection (I8)
|
97% |
786
58.7 IPS |
|
|
Face Detection (F32)
|
100% |
1445
17.2 IPS |
|
|
Face Detection (F16)
|
100% |
1161
13.8 IPS |
|
|
Face Detection (I8)
|
99% |
1156
13.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2406
18.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
2505
19.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2491
19.3 IPS |
|
|
Style Transfer (F32)
|
100% |
6536
8.60 IPS |
|
|
Style Transfer (F16)
|
100% |
7530
9.91 IPS |
|
|
Style Transfer (I8)
|
100% |
7557
9.94 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1739
62.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1688
60.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1792
64.0 IPS |
|
|
Text Classification (F32)
|
100% |
566
813.3 IPS |
|
|
Text Classification (F16)
|
100% |
310
445.9 IPS |
|
|
Text Classification (I8)
|
96% |
417
599.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1185
21.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1276
23.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1148
21.1 IPS |
