iPad Pro 13-inch (M4)
Geekbench AI Score
8779
Single Precision Score
10779
Half Precision Score
9700
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Diacritical |
| Upload Date | January 02 2025 08:31 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4421
822.2 IPS |
|
|
Image Classification (HP)
|
100% |
4825
897.4 IPS |
|
|
Image Classification (Q)
|
97% |
4117
768.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4819
78.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6723
109.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7160
116.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27945
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30035
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28591
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4686
371.7 IPS |
|
|
Object Detection (HP)
|
100% |
5238
415.5 IPS |
|
|
Object Detection (Q)
|
91% |
4465
356.8 IPS |
|
|
Face Detection (SP)
|
100% |
12773
151.8 IPS |
|
|
Face Detection (HP)
|
100% |
16511
196.2 IPS |
|
|
Face Detection (Q)
|
100% |
11972
142.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20587
158.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22634
174.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19343
151.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56534
72.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67450
86.7 IPS |
|
|
Style Transfer (Q)
|
96% |
62768
81.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11703
432.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12577
464.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10342
381.9 IPS |
|
|
Text Classification (SP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
6239
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6266
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2098
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2082
36.0 IPS |
