Mac16,10
Geekbench ML Score
13063
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 15 2025 06:28 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4511
844.1 IPS |
|
|
Image Classification (F16)
|
100% |
15493
2.90 KIPS |
|
|
Image Classification (I8)
|
99% |
17728
3.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1909
31.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2888
48.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
2909
48.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
28361
34.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
110826
134.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
112309
136.0 IPS |
|
|
Object Detection (F32)
|
100% |
3934
293.7 IPS |
|
|
Object Detection (F16)
|
100% |
8085
603.6 IPS |
|
|
Object Detection (I8)
|
97% |
3334
248.9 IPS |
|
|
Face Detection (F32)
|
100% |
11477
136.5 IPS |
|
|
Face Detection (F16)
|
97% |
22922
272.5 IPS |
|
|
Face Detection (I8)
|
96% |
22396
266.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
21302
165.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
74625
578.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
82982
643.5 IPS |
|
|
Style Transfer (F32)
|
100% |
55318
72.8 IPS |
|
|
Style Transfer (F16)
|
100% |
154607
203.4 IPS |
|
|
Style Transfer (I8)
|
100% |
162923
214.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8621
307.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
45962
1.64 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
47726
1.70 KIPS |
|
|
Text Classification (F32)
|
100% |
2709
3.89 KIPS |
|
|
Text Classification (F16)
|
100% |
5090
7.32 KIPS |
|
|
Text Classification (I8)
|
96% |
4846
6.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
1131
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2292
42.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1148
21.1 IPS |
