iPad Pro 13-inch (M4)
Geekbench AI Score
8578
Single Precision Score
10593
Half Precision Score
9333
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | March 19 2025 07:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
4456
828.6 IPS |
|
|
Image Classification (HP)
|
100% |
4959
922.2 IPS |
|
|
Image Classification (Q)
|
97% |
4131
771.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4801
77.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6699
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7107
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27807
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29866
34.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
28450
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4498
356.8 IPS |
|
|
Object Detection (HP)
|
100% |
5227
414.6 IPS |
|
|
Object Detection (Q)
|
91% |
4408
352.2 IPS |
|
|
Face Detection (SP)
|
100% |
12834
152.5 IPS |
|
|
Face Detection (HP)
|
100% |
16387
194.7 IPS |
|
|
Face Detection (Q)
|
100% |
11985
142.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20234
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22295
171.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19485
152.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56053
72.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66412
85.4 IPS |
|
|
Style Transfer (Q)
|
96% |
62578
80.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11767
434.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12653
467.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10234
377.9 IPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5320
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1586
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2102
36.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1633
28.2 IPS |
