MacBook Air (15-inch, M3, 2024) Mac15,13
Geekbench ML Score
5592
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:21 AM |
| Views | 10 |
| Notes | MacBook Air (15-inch, M3, 2024)/M3/8Core CPU/10 Core GPU/8GB/256GBSSD |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4108
768.6 IPS |
|
|
Image Classification (F16)
|
100% |
4370
817.7 IPS |
|
|
Image Classification (I8)
|
99% |
3887
727.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1713
28.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1865
31.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1862
31.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
24036
29.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
25691
31.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25012
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
3434
256.3 IPS |
|
|
Object Detection (F16)
|
100% |
3626
270.7 IPS |
|
|
Object Detection (I8)
|
97% |
3151
235.2 IPS |
|
|
Face Detection (F32)
|
100% |
10888
129.5 IPS |
|
|
Face Detection (F16)
|
98% |
13616
161.9 IPS |
|
|
Face Detection (I8)
|
97% |
13189
156.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
18520
143.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
20389
158.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
18757
145.5 IPS |
|
|
Style Transfer (F32)
|
100% |
50072
65.9 IPS |
|
|
Style Transfer (F16)
|
100% |
55787
73.4 IPS |
|
|
Style Transfer (I8)
|
100% |
58249
76.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6437
229.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7400
264.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7188
256.7 IPS |
|
|
Text Classification (F32)
|
100% |
537
772.4 IPS |
|
|
Text Classification (F16)
|
100% |
781
1.12 KIPS |
|
|
Text Classification (I8)
|
96% |
783
1.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
806
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
774
14.2 IPS |
|
|
Machine Translation (I8)
|
99% |
673
12.4 IPS |
