iPad Pro 13-inch (M4)
Geekbench AI Score
8713
Single Precision Score
10712
Half Precision Score
9653
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 12:06 AM |
| Views | 1 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4387
815.9 IPS |
|
|
Image Classification (HP)
|
100% |
4795
891.7 IPS |
|
|
Image Classification (Q)
|
97% |
4118
768.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4815
78.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6712
108.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7119
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27919
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30005
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28631
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4670
370.4 IPS |
|
|
Object Detection (HP)
|
100% |
5185
411.3 IPS |
|
|
Object Detection (Q)
|
91% |
4408
352.2 IPS |
|
|
Face Detection (SP)
|
100% |
12642
150.2 IPS |
|
|
Face Detection (HP)
|
100% |
16285
193.5 IPS |
|
|
Face Detection (Q)
|
100% |
11873
141.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20109
154.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22387
172.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
19299
150.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56508
72.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66910
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
62552
80.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11616
428.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12682
468.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10288
379.9 IPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
6183
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6166
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1570
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2089
36.1 IPS |
