Mac16,7
Geekbench ML Score
6362
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 11 2025 09:35 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac16,7 |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| 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% |
2149
402.2 IPS |
|
|
Image Classification (F16)
|
100% |
2955
553.0 IPS |
|
|
Image Classification (I8)
|
99% |
2973
556.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1595
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2004
33.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1977
33.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
16607
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
32712
39.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
32767
39.7 IPS |
|
|
Object Detection (F32)
|
100% |
2350
175.5 IPS |
|
|
Object Detection (F16)
|
100% |
3319
247.8 IPS |
|
|
Object Detection (I8)
|
97% |
2354
175.7 IPS |
|
|
Face Detection (F32)
|
100% |
4988
59.3 IPS |
|
|
Face Detection (F16)
|
97% |
8263
98.2 IPS |
|
|
Face Detection (I8)
|
96% |
8258
98.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8732
67.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
15174
117.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
15110
117.2 IPS |
|
|
Style Transfer (F32)
|
100% |
29832
39.2 IPS |
|
|
Style Transfer (F16)
|
100% |
55933
73.6 IPS |
|
|
Style Transfer (I8)
|
100% |
56036
73.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7113
254.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9765
348.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9729
347.4 IPS |
|
|
Text Classification (F32)
|
100% |
2913
4.19 KIPS |
|
|
Text Classification (F16)
|
100% |
5075
7.29 KIPS |
|
|
Text Classification (I8)
|
96% |
5126
7.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
2062
38.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2375
43.7 IPS |
|
|
Machine Translation (I8)
|
99% |
2065
38.0 IPS |
