Mac16,5
Geekbench ML Score
6443
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 22 2025 10:35 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2107
394.2 IPS |
|
|
Image Classification (F16)
|
100% |
3065
573.5 IPS |
|
|
Image Classification (I8)
|
99% |
3057
572.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1799
30.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2271
37.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2269
37.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
18543
22.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
31479
38.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
31528
38.2 IPS |
|
|
Object Detection (F32)
|
100% |
2320
173.2 IPS |
|
|
Object Detection (F16)
|
100% |
3251
242.7 IPS |
|
|
Object Detection (I8)
|
97% |
2313
172.7 IPS |
|
|
Face Detection (F32)
|
100% |
4811
57.2 IPS |
|
|
Face Detection (F16)
|
97% |
8171
97.2 IPS |
|
|
Face Detection (I8)
|
97% |
8088
96.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
9134
70.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
15715
121.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
15800
122.5 IPS |
|
|
Style Transfer (F32)
|
100% |
36898
48.5 IPS |
|
|
Style Transfer (F16)
|
100% |
53875
70.9 IPS |
|
|
Style Transfer (I8)
|
100% |
54076
71.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7416
264.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9966
355.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9861
352.2 IPS |
|
|
Text Classification (F32)
|
100% |
2721
3.91 KIPS |
|
|
Text Classification (F16)
|
100% |
4880
7.01 KIPS |
|
|
Text Classification (I8)
|
96% |
4892
7.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1945
35.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2300
42.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1946
35.8 IPS |
