iPad Pro 11-inch (M4)
Geekbench AI Score
4822
Single Precision Score
37368
Half Precision Score
52971
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 06:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
17717
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
26303
4.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22196
359.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30600
496.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9956
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122695
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231357
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (HP)
|
100% |
18841
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26363
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4245
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
43660
518.8 IPS |
|
|
Face Detection (Q)
|
100% |
64450
765.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8533
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100009
770.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
171953
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21508
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
235388
302.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298131
384.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6029
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50744
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86526
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6592
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6682
8.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4431
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16990
292.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18550
320.6 IPS |
