iPad Pro 13-inch (M4)
Geekbench AI Score
8735
Single Precision Score
10581
Half Precision Score
9280
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sietec |
| Upload Date | March 22 2025 10:51 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
4382
814.9 IPS |
|
|
Image Classification (HP)
|
100% |
4811
894.8 IPS |
|
|
Image Classification (Q)
|
97% |
4078
761.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4721
76.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6671
108.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7123
115.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27798
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29945
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
28450
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4617
366.3 IPS |
|
|
Object Detection (HP)
|
100% |
5166
409.8 IPS |
|
|
Object Detection (Q)
|
91% |
4407
352.1 IPS |
|
|
Face Detection (SP)
|
100% |
12658
150.4 IPS |
|
|
Face Detection (HP)
|
100% |
16336
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
11927
141.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20383
157.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22429
172.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19235
150.4 IPS |
|
|
Style Transfer (SP)
|
100% |
56223
72.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66388
85.3 IPS |
|
|
Style Transfer (Q)
|
96% |
62446
80.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11463
423.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12552
463.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10256
378.7 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5601
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5550
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1962
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2072
35.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1596
27.6 IPS |
