Mac16,11
Geekbench ML Score
11672
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 09 2025 03:23 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7296
1.37 KIPS |
|
|
Image Classification (F16)
|
100% |
7634
1.43 KIPS |
|
|
Image Classification (I8)
|
99% |
7517
1.41 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3256
54.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3080
51.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
3121
52.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
50834
61.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
55542
67.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
55543
67.3 IPS |
|
|
Object Detection (F32)
|
100% |
4529
338.1 IPS |
|
|
Object Detection (F16)
|
100% |
4875
363.9 IPS |
|
|
Object Detection (I8)
|
97% |
4599
343.4 IPS |
|
|
Face Detection (F32)
|
100% |
21509
255.7 IPS |
|
|
Face Detection (F16)
|
98% |
24601
292.5 IPS |
|
|
Face Detection (I8)
|
97% |
24527
291.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
31413
243.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
23475
182.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
32755
254.0 IPS |
|
|
Style Transfer (F32)
|
100% |
110114
144.8 IPS |
|
|
Style Transfer (F16)
|
100% |
119531
157.2 IPS |
|
|
Style Transfer (I8)
|
100% |
124200
163.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12910
461.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15324
547.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14229
508.2 IPS |
|
|
Text Classification (F32)
|
100% |
2912
4.19 KIPS |
|
|
Text Classification (F16)
|
100% |
5055
7.26 KIPS |
|
|
Text Classification (I8)
|
96% |
5018
7.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
1634
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1700
31.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1675
30.8 IPS |
