MacBook Air (15-inch, 2023)
Geekbench ML Score
9167
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 21 2024 04:03 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3369
630.4 IPS |
|
|
Image Classification (F16)
|
100% |
11450
2.14 KIPS |
|
|
Image Classification (I8)
|
99% |
11720
2.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1382
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1820
30.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1850
30.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23078
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
97047
117.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
97716
118.3 IPS |
|
|
Object Detection (F32)
|
100% |
1888
141.0 IPS |
|
|
Object Detection (F16)
|
100% |
5527
412.6 IPS |
|
|
Object Detection (I8)
|
97% |
1094
81.7 IPS |
|
|
Face Detection (F32)
|
100% |
8956
106.5 IPS |
|
|
Face Detection (F16)
|
97% |
19547
232.4 IPS |
|
|
Face Detection (I8)
|
96% |
20076
238.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
14873
115.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
48330
374.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
48522
376.3 IPS |
|
|
Style Transfer (F32)
|
100% |
40839
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
143996
189.4 IPS |
|
|
Style Transfer (I8)
|
100% |
141209
185.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7141
255.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
36694
1.31 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34792
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2023
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3288
4.73 KIPS |
|
|
Text Classification (I8)
|
96% |
3350
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
674
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2044
37.6 IPS |
|
|
Machine Translation (I8)
|
99% |
493
9.07 IPS |
