Mac16,5
Geekbench ML Score
16311
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 14 2025 03:15 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8869
1.66 KIPS |
|
|
Image Classification (F16)
|
100% |
14766
2.76 KIPS |
|
|
Image Classification (I8)
|
99% |
16607
3.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3671
61.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3885
64.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
3945
65.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
71737
86.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
109687
132.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
110522
133.8 IPS |
|
|
Object Detection (F32)
|
100% |
4759
355.3 IPS |
|
|
Object Detection (F16)
|
100% |
7696
574.6 IPS |
|
|
Object Detection (I8)
|
97% |
4875
364.0 IPS |
|
|
Face Detection (F32)
|
100% |
28948
344.2 IPS |
|
|
Face Detection (F16)
|
97% |
23265
276.6 IPS |
|
|
Face Detection (I8)
|
96% |
23234
276.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
40299
312.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
63568
493.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
60194
466.8 IPS |
|
|
Style Transfer (F32)
|
100% |
158098
208.0 IPS |
|
|
Style Transfer (F16)
|
100% |
159603
209.9 IPS |
|
|
Style Transfer (I8)
|
100% |
159792
210.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15672
559.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
39372
1.41 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
39903
1.43 KIPS |
|
|
Text Classification (F32)
|
100% |
2979
4.28 KIPS |
|
|
Text Classification (F16)
|
100% |
5075
7.29 KIPS |
|
|
Text Classification (I8)
|
96% |
5093
7.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
1710
31.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2320
42.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1706
31.4 IPS |
