| User | xtreem-p |
| Upload Date | September 17 2024 09:25 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 5700 XT |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | iMac20,2 |
| Model ID | iMac20,2 |
| Motherboard | Acidanthera Mac-AF89B6D9451A490B iMac20,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3800 MT/s |
| Type | DDR4 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
94% |
5069
947.3 IPS |
|
|
Image Classification (HP)
|
94% |
5130
958.8 IPS |
|
|
Image Classification (Q)
|
96% |
5146
961.0 IPS |
|
|
Image Segmentation (SP)
|
99% |
593
9.61 IPS |
|
|
Image Segmentation (HP)
|
99% |
612
9.93 IPS |
|
|
Image Segmentation (Q)
|
99% |
608
9.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
41516
48.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
41328
48.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3436
4.03 IPS |
|
|
Object Detection (SP)
|
91% |
4706
375.9 IPS |
|
|
Object Detection (HP)
|
91% |
5006
400.0 IPS |
|
|
Object Detection (Q)
|
92% |
186
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
14580
173.2 IPS |
|
|
Face Detection (HP)
|
100% |
16579
197.0 IPS |
|
|
Face Detection (Q)
|
100% |
332
3.95 IPS |
|
|
Depth Estimation (SP)
|
94% |
24273
188.0 IPS |
|
|
Depth Estimation (HP)
|
94% |
24731
191.5 IPS |
|
|
Depth Estimation (Q)
|
95% |
6835
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
77710
99.9 IPS |
|
|
Style Transfer (HP)
|
100% |
78147
100.5 IPS |
|
|
Style Transfer (Q)
|
100% |
78962
101.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9807
362.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14935
551.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13252
491.0 IPS |
|
|
Text Classification (SP)
|
99% |
556
742.7 IPS |
|
|
Text Classification (HP)
|
99% |
314
419.0 IPS |
|
|
Text Classification (Q)
|
93% |
288
386.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
890
15.4 IPS |