iPad Pro 11-inch (M4)
Geekbench AI Score
4930
Single Precision Score
36452
Half Precision Score
51539
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Nuckell |
| Upload Date | December 02 2025 11:46 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
17506
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
25581
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22374
362.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30723
498.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10057
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122822
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232807
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
18058
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26195
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4264
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
43638
518.5 IPS |
|
|
Face Detection (Q)
|
100% |
62804
746.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8495
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100378
773.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
162997
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24524
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
230350
296.1 IPS |
|
|
Style Transfer (Q)
|
96% |
319002
411.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6076
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51216
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83525
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5541
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16583
285.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18257
315.5 IPS |
