| User | nvsnvs32 |
| Upload Date | March 24 2026 08:53 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,9 |
| Model ID | Mac17,9 |
| Motherboard | Mac17,9 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 15 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8224
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
12273
2.28 KIPS |
|
|
Image Classification (Q)
|
99% |
11536
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15424
250.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
25250
409.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24371
395.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
60159
70.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
155402
181.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
191233
224.1 IPS |
|
|
Object Detection (SP)
|
100% |
7717
612.1 IPS |
|
|
Object Detection (HP)
|
100% |
13853
1.10 KIPS |
|
|
Object Detection (Q)
|
94% |
13142
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
30227
359.2 IPS |
|
|
Face Detection (HP)
|
100% |
51943
617.2 IPS |
|
|
Face Detection (Q)
|
100% |
46123
548.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
39226
302.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
69333
534.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
64375
502.6 IPS |
|
|
Style Transfer (SP)
|
100% |
127975
164.5 IPS |
|
|
Style Transfer (HP)
|
100% |
280522
360.6 IPS |
|
|
Style Transfer (Q)
|
96% |
324692
419.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21784
804.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41657
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33288
1.23 KIPS |
|
|
Text Classification (SP)
|
99% |
6038
8.06 KIPS |
|
|
Text Classification (HP)
|
100% |
9390
12.5 KIPS |
|
|
Text Classification (Q)
|
92% |
9361
12.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
7515
129.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8744
150.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8413
145.4 IPS |