Mac16,11
Geekbench ML Score
15053
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 09 2025 03:22 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7284
1.36 KIPS |
|
|
Image Classification (F16)
|
100% |
14919
2.79 KIPS |
|
|
Image Classification (I8)
|
99% |
15737
2.94 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3129
52.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3715
62.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
3796
63.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
50913
61.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
110639
134.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
111345
134.8 IPS |
|
|
Object Detection (F32)
|
100% |
4417
329.8 IPS |
|
|
Object Detection (F16)
|
100% |
6991
521.9 IPS |
|
|
Object Detection (I8)
|
97% |
4514
337.0 IPS |
|
|
Face Detection (F32)
|
100% |
21579
256.6 IPS |
|
|
Face Detection (F16)
|
97% |
23880
283.9 IPS |
|
|
Face Detection (I8)
|
96% |
23997
285.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
31318
242.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
55116
427.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
58920
456.9 IPS |
|
|
Style Transfer (F32)
|
100% |
111964
147.3 IPS |
|
|
Style Transfer (F16)
|
100% |
159222
209.4 IPS |
|
|
Style Transfer (I8)
|
100% |
161581
212.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12871
459.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
38123
1.36 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
38013
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
2910
4.18 KIPS |
|
|
Text Classification (F16)
|
100% |
5077
7.30 KIPS |
|
|
Text Classification (I8)
|
96% |
5041
7.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
1636
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2322
42.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1691
31.1 IPS |
