iPad Pro 11-inch (M4)
Geekbench AI Score
4829
Single Precision Score
37183
Half Precision Score
52439
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 07:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2059
382.9 IPS |
|
|
Image Classification (HP)
|
100% |
18414
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
25479
4.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22237
360.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30528
494.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10008
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122941
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231173
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
18607
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26597
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4298
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
43145
512.7 IPS |
|
|
Face Detection (Q)
|
100% |
63587
755.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8588
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99644
767.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
170257
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21847
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
233215
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
295683
381.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6057
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50050
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85230
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6376
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6474
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4367
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16859
290.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18616
321.7 IPS |
