iPad Pro 11-inch (M4)
Geekbench AI Score
4942
Single Precision Score
36649
Half Precision Score
51817
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 04:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2116
393.6 IPS |
|
|
Image Classification (HP)
|
100% |
17248
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
26122
4.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22287
361.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30694
497.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9914
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122845
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231875
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
18069
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25696
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4263
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
42752
508.0 IPS |
|
|
Face Detection (Q)
|
100% |
62149
738.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8599
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
100162
771.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162492
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24404
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233593
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
319844
412.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6065
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51289
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84941
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6046
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5844
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4552
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16519
284.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18221
314.9 IPS |
