iPad Pro 11-inch (M4)
Geekbench AI Score
4833
Single Precision Score
36708
Half Precision Score
52013
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 11:20 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, 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% |
2082
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
16948
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
24598
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22051
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30317
491.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9890
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122780
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231517
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
18394
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25975
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4249
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
42648
506.8 IPS |
|
|
Face Detection (Q)
|
100% |
63235
751.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8605
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99145
763.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168584
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21781
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
233657
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
296582
382.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49171
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84487
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6517
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6593
8.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4393
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16626
286.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18349
317.1 IPS |
