| User | jdklev |
| Upload Date | March 31 2026 04:14 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,7 |
| Model ID | Mac17,7 |
| Motherboard | Mac17,7 |
| CPU Information | |
|---|---|
| Name | Apple M5 Max |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Max |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2353
437.5 IPS |
|
|
Image Classification (HP)
|
100% |
20651
3.84 KIPS |
|
|
Image Classification (Q)
|
97% |
25087
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
26260
425.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
37741
611.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9908
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
183840
214.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
338528
396.8 IPS |
|
|
Object Detection (SP)
|
100% |
2905
230.4 IPS |
|
|
Object Detection (HP)
|
100% |
23755
1.88 KIPS |
|
|
Object Detection (Q)
|
89% |
28481
2.28 KIPS |
|
|
Face Detection (SP)
|
100% |
5619
66.8 IPS |
|
|
Face Detection (HP)
|
100% |
50933
605.2 IPS |
|
|
Face Detection (Q)
|
100% |
79405
943.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9180
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
138011
1.06 KIPS |
|
|
Depth Estimation (Q)
|
85% |
219213
1.71 KIPS |
|
|
Style Transfer (SP)
|
100% |
25146
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
290917
374.0 IPS |
|
|
Style Transfer (Q)
|
96% |
362989
468.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5835
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67483
2.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104861
3.87 KIPS |
|
|
Text Classification (SP)
|
99% |
5808
7.75 KIPS |
|
|
Text Classification (HP)
|
99% |
9764
13.0 KIPS |
|
|
Text Classification (Q)
|
93% |
10248
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
2793
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
19554
336.8 IPS |
|
|
Machine Translation (Q)
|
98% |
19115
330.3 IPS |