Mac16,5
Geekbench ML Score
16341
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 22 2025 10:39 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 | 4.51 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8866
1.66 KIPS |
|
|
Image Classification (F16)
|
100% |
15689
2.94 KIPS |
|
|
Image Classification (I8)
|
99% |
16711
3.13 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3908
65.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
4016
67.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
4026
67.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
97516
118.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
111095
134.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
112439
136.2 IPS |
|
|
Object Detection (F32)
|
100% |
4931
368.1 IPS |
|
|
Object Detection (F16)
|
100% |
7962
594.4 IPS |
|
|
Object Detection (I8)
|
97% |
5419
404.5 IPS |
|
|
Face Detection (F32)
|
100% |
29107
346.1 IPS |
|
|
Face Detection (F16)
|
97% |
24115
286.7 IPS |
|
|
Face Detection (I8)
|
96% |
24182
287.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
40217
311.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
57785
448.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
60647
470.3 IPS |
|
|
Style Transfer (F32)
|
100% |
164556
216.5 IPS |
|
|
Style Transfer (F16)
|
100% |
161447
212.4 IPS |
|
|
Style Transfer (I8)
|
100% |
162256
213.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11454
409.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
39996
1.43 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
40812
1.46 KIPS |
|
|
Text Classification (F32)
|
100% |
2730
3.92 KIPS |
|
|
Text Classification (F16)
|
100% |
4840
6.96 KIPS |
|
|
Text Classification (I8)
|
96% |
4943
7.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
1469
27.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2458
45.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1448
26.6 IPS |
