trelf's iPizzle Pro M4 iPad Pro 13-inch (M4)
Geekbench AI Score
4754
Single Precision Score
7878
Half Precision Score
6312
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | trelf |
| Upload Date | December 25 2024 09:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
3324
618.2 IPS |
|
|
Image Classification (Q)
|
96% |
2343
437.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3364
54.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3686
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10116
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19151
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16508
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2265
179.7 IPS |
|
|
Object Detection (HP)
|
97% |
3792
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2715
216.4 IPS |
|
|
Face Detection (SP)
|
100% |
4034
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
7869
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
4511
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8344
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14732
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10239
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25178
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38082
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31598
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5878
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6713
247.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4801
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5608
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5437
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3950
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6824
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6814
117.7 IPS |
