Mac16,5
Geekbench ML Score
14267
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 14 2025 03:12 PM |
| Views | 10 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9084
1.70 KIPS |
|
|
Image Classification (F16)
|
100% |
9236
1.73 KIPS |
|
|
Image Classification (I8)
|
99% |
9109
1.70 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3690
61.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
3728
62.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
3701
61.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
71602
86.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
81679
98.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
80813
97.9 IPS |
|
|
Object Detection (F32)
|
100% |
5762
430.2 IPS |
|
|
Object Detection (F16)
|
100% |
6068
453.0 IPS |
|
|
Object Detection (I8)
|
97% |
4886
364.8 IPS |
|
|
Face Detection (F32)
|
100% |
28535
339.3 IPS |
|
|
Face Detection (F16)
|
98% |
30965
368.2 IPS |
|
|
Face Detection (I8)
|
97% |
30485
362.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
40008
310.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
42141
326.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
40970
317.7 IPS |
|
|
Style Transfer (F32)
|
100% |
164719
216.7 IPS |
|
|
Style Transfer (F16)
|
100% |
160586
211.2 IPS |
|
|
Style Transfer (I8)
|
100% |
174657
229.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15669
559.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16773
599.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15890
567.5 IPS |
|
|
Text Classification (F32)
|
100% |
2968
4.27 KIPS |
|
|
Text Classification (F16)
|
100% |
5089
7.31 KIPS |
|
|
Text Classification (I8)
|
96% |
5057
7.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
1704
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1726
31.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1686
31.0 IPS |
