Mac16,11
Geekbench ML Score
6399
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 09 2025 03:29 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 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 | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2141
400.7 IPS |
|
|
Image Classification (F16)
|
100% |
3021
565.3 IPS |
|
|
Image Classification (I8)
|
99% |
2921
546.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1579
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2024
33.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1993
33.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
16699
20.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
32455
39.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
32736
39.6 IPS |
|
|
Object Detection (F32)
|
100% |
2356
175.9 IPS |
|
|
Object Detection (F16)
|
100% |
3335
249.0 IPS |
|
|
Object Detection (I8)
|
97% |
2355
175.8 IPS |
|
|
Face Detection (F32)
|
100% |
5002
59.5 IPS |
|
|
Face Detection (F16)
|
97% |
8351
99.3 IPS |
|
|
Face Detection (I8)
|
96% |
8329
99.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8785
68.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
15041
116.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
15146
117.5 IPS |
|
|
Style Transfer (F32)
|
100% |
30090
39.6 IPS |
|
|
Style Transfer (F16)
|
100% |
55959
73.6 IPS |
|
|
Style Transfer (I8)
|
100% |
55723
73.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7087
253.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9619
343.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9814
350.5 IPS |
|
|
Text Classification (F32)
|
100% |
2915
4.19 KIPS |
|
|
Text Classification (F16)
|
100% |
5582
8.02 KIPS |
|
|
Text Classification (I8)
|
96% |
5415
7.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
2065
38.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2364
43.5 IPS |
|
|
Machine Translation (I8)
|
99% |
2058
37.9 IPS |
