iPad Pro 11-inch (M4)
Geekbench AI Score
4850
Single Precision Score
7935
Half Precision Score
6343
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 02:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
3340
621.2 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3243
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3570
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10070
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19472
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16671
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
4316
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
7770
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
4413
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8644
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14566
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10187
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21926
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38249
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31518
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6114
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7237
267.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5076
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5510
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4455
76.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7117
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7114
122.9 IPS |
