Mac15,12
Geekbench ML Score
4647
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Jasonious |
| Upload Date | February 07 2025 12:24 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1552
290.4 IPS |
|
|
Image Classification (F16)
|
100% |
2914
545.3 IPS |
|
|
Image Classification (I8)
|
99% |
2902
543.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1064
17.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1359
22.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1364
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8237
9.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
16596
20.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
16601
20.1 IPS |
|
|
Object Detection (F32)
|
100% |
1700
126.9 IPS |
|
|
Object Detection (F16)
|
100% |
2788
208.2 IPS |
|
|
Object Detection (I8)
|
97% |
1705
127.3 IPS |
|
|
Face Detection (F32)
|
100% |
3445
41.0 IPS |
|
|
Face Detection (F16)
|
97% |
6398
76.1 IPS |
|
|
Face Detection (I8)
|
97% |
6484
77.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7108
55.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
13477
104.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
13474
104.5 IPS |
|
|
Style Transfer (F32)
|
100% |
21781
28.7 IPS |
|
|
Style Transfer (F16)
|
100% |
33132
43.6 IPS |
|
|
Style Transfer (I8)
|
100% |
33095
43.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5365
191.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6270
223.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6273
224.0 IPS |
|
|
Text Classification (F32)
|
100% |
2702
3.88 KIPS |
|
|
Text Classification (F16)
|
100% |
4762
6.84 KIPS |
|
|
Text Classification (I8)
|
96% |
4786
6.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
1472
27.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1765
32.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1472
27.1 IPS |
