| User | avandeputte |
| Upload Date | December 10 2025 09:19 PM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2062
383.6 IPS |
|
|
Image Classification (HP)
|
100% |
17695
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
24785
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21313
345.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30037
486.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9777
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123036
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232402
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
100% |
18362
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26436
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4093
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
43264
514.1 IPS |
|
|
Face Detection (Q)
|
100% |
60979
724.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8377
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99608
767.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168107
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23438
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234355
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
323243
417.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5935
219.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51885
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87325
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3350
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5895
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4471
77.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16377
282.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18051
311.9 IPS |