iPad Pro 11-inch (M4)
Geekbench AI Score
4764
Single Precision Score
36578
Half Precision Score
51973
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 2 |
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, 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% |
2026
376.7 IPS |
|
|
Image Classification (HP)
|
100% |
16905
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
25835
4.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22030
357.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30206
489.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9798
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122770
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230448
270.1 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
18721
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26122
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4143
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
42497
505.0 IPS |
|
|
Face Detection (Q)
|
100% |
63245
751.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8532
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99390
765.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
166419
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21045
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234321
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296667
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5983
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48847
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83391
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
6432
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6576
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4360
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16111
277.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17881
309.0 IPS |
