MacBook Air (15-inch, 2023)
Geekbench ML Score
3903
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 21 2024 03:58 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 | 3.47 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% |
1371
256.6 IPS |
|
|
Image Classification (F16)
|
100% |
2491
466.2 IPS |
|
|
Image Classification (I8)
|
99% |
2499
467.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
869
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1192
19.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1133
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6586
7.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
14260
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14332
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1458
108.9 IPS |
|
|
Object Detection (F16)
|
100% |
2485
185.5 IPS |
|
|
Object Detection (I8)
|
97% |
1463
109.3 IPS |
|
|
Face Detection (F32)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (F16)
|
97% |
5869
69.8 IPS |
|
|
Face Detection (I8)
|
97% |
5814
69.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5639
43.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11631
90.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11641
90.3 IPS |
|
|
Style Transfer (F32)
|
100% |
18206
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27872
36.7 IPS |
|
|
Style Transfer (I8)
|
100% |
27896
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4174
149.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4954
176.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4953
176.9 IPS |
|
|
Text Classification (F32)
|
100% |
2024
2.91 KIPS |
|
|
Text Classification (F16)
|
100% |
3385
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3295
4.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
1366
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1615
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1357
25.0 IPS |
