| User | geekgrunt |
| Upload Date | March 17 2026 01:34 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.2 (Build 25D2140) |
| Model | Mac17,6 |
| Model ID | Mac17,6 |
| Motherboard | Mac17,6 |
| CPU Information | |
|---|---|
| Name | Apple M5 Max |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Max |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2384
443.3 IPS |
|
|
Image Classification (HP)
|
100% |
20522
3.82 KIPS |
|
|
Image Classification (Q)
|
97% |
24508
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
25826
418.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
36468
591.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11026
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
183695
214.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
338816
397.1 IPS |
|
|
Object Detection (SP)
|
100% |
2860
226.9 IPS |
|
|
Object Detection (HP)
|
100% |
23293
1.85 KIPS |
|
|
Object Detection (Q)
|
91% |
27843
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
5342
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
50219
596.7 IPS |
|
|
Face Detection (Q)
|
100% |
70318
835.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9554
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
138681
1.07 KIPS |
|
|
Depth Estimation (Q)
|
85% |
214830
1.68 KIPS |
|
|
Style Transfer (SP)
|
100% |
27398
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
288845
371.3 IPS |
|
|
Style Transfer (Q)
|
96% |
398277
514.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
68263
2.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103674
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
5589
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5465
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2523
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
18843
324.6 IPS |
|
|
Machine Translation (Q)
|
98% |
19091
329.9 IPS |