iPad Pro 13-inch (M4)
Geekbench AI Score
10050
Single Precision Score
11912
Half Precision Score
10210
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | September 03 2025 08:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4525
841.6 IPS |
|
|
Image Classification (HP)
|
100% |
5005
930.7 IPS |
|
|
Image Classification (Q)
|
96% |
4406
822.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7122
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7969
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7686
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27080
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30995
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30203
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4581
363.4 IPS |
|
|
Object Detection (HP)
|
100% |
5169
410.0 IPS |
|
|
Object Detection (Q)
|
92% |
4813
384.2 IPS |
|
|
Face Detection (SP)
|
100% |
12704
150.9 IPS |
|
|
Face Detection (HP)
|
100% |
16859
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
13465
160.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20042
154.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22261
171.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20253
158.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56211
72.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67171
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65022
83.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11396
420.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11692
431.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10269
379.2 IPS |
|
|
Text Classification (SP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5691
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5673
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4886
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5370
92.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2423
41.9 IPS |
