| User | MSZ |
| Upload Date | September 24 2024 04:04 PM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4120
766.2 IPS |
|
|
Image Classification (HP)
|
100% |
4211
783.1 IPS |
|
|
Image Classification (Q)
|
97% |
3192
595.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8220
133.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8203
133.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7783
126.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
46754
54.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
48802
56.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
42968
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
4416
350.3 IPS |
|
|
Object Detection (HP)
|
100% |
4699
372.8 IPS |
|
|
Object Detection (Q)
|
92% |
3550
283.4 IPS |
|
|
Face Detection (SP)
|
100% |
16144
191.8 IPS |
|
|
Face Detection (HP)
|
100% |
16480
195.8 IPS |
|
|
Face Detection (Q)
|
100% |
11528
137.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23338
179.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23942
184.5 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
148.9 IPS |
|
|
Style Transfer (SP)
|
100% |
79104
101.7 IPS |
|
|
Style Transfer (HP)
|
100% |
93540
120.2 IPS |
|
|
Style Transfer (Q)
|
96% |
82293
106.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15835
584.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16299
601.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11919
440.1 IPS |
|
|
Text Classification (SP)
|
100% |
367
489.3 IPS |
|
|
Text Classification (HP)
|
100% |
508
678.3 IPS |
|
|
Text Classification (Q)
|
93% |
498
667.7 IPS |
|
|
Machine Translation (SP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1056
18.2 IPS |