iPad Pro 13-inch (M4)
Geekbench AI Score
9427
Single Precision Score
11086
Half Precision Score
10181
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 10 2025 05:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
4378
814.1 IPS |
|
|
Image Classification (HP)
|
100% |
4810
894.5 IPS |
|
|
Image Classification (Q)
|
96% |
4504
841.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7079
114.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7839
127.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7608
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27560
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29708
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29418
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4510
357.7 IPS |
|
|
Object Detection (HP)
|
100% |
5144
408.0 IPS |
|
|
Object Detection (Q)
|
92% |
4741
378.4 IPS |
|
|
Face Detection (SP)
|
100% |
12594
149.6 IPS |
|
|
Face Detection (HP)
|
100% |
16465
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
13241
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20287
156.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22021
169.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20089
156.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56486
72.6 IPS |
|
|
Style Transfer (HP)
|
100% |
65637
84.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63858
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11661
430.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11459
423.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10285
379.8 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5398
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5258
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2901
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3308
57.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2726
47.1 IPS |
