iPad Pro 11-inch (M4)
Geekbench AI Score
4787
Single Precision Score
36825
Half Precision Score
52388
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 19 2025 10:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2064
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
17283
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
25195
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22081
358.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30325
491.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9829
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122847
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231501
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2406
190.8 IPS |
|
|
Object Detection (HP)
|
100% |
18373
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26115
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4147
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
42890
509.6 IPS |
|
|
Face Detection (Q)
|
100% |
63137
750.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8598
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99172
764.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
170847
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21401
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235825
303.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297852
384.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6000
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48865
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84903
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6535
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6786
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4421
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16625
286.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18211
314.7 IPS |
