iPad Pro 11-inch (M4)
Geekbench AI Score
4747
Single Precision Score
36521
Half Precision Score
51964
Quantized Score
Geekbench AI 1.5.0 Corporate for iOS AArch64
Result Information
| Upload Date | September 02 2025 08:01 PM |
| Views | 3 |
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% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
17418
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
25901
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22200
359.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30607
496.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9782
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122698
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230831
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
18501
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26235
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4156
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
43080
511.9 IPS |
|
|
Face Detection (Q)
|
100% |
62905
747.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8554
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98420
758.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166720
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21001
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
235554
302.8 IPS |
|
|
Style Transfer (Q)
|
96% |
296931
383.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48368
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84949
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6057
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6352
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4392
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16437
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17797
307.5 IPS |
