iPad Pro 11-inch (M4)
Geekbench AI Score
4778
Single Precision Score
37116
Half Precision Score
53378
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
2027
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
17479
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
25925
4.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22133
358.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30592
495.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9867
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122619
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230354
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2372
188.2 IPS |
|
|
Object Detection (HP)
|
100% |
18812
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26880
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4185
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
43165
512.9 IPS |
|
|
Face Detection (Q)
|
100% |
63637
756.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8581
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99891
769.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
171457
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21501
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233090
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302072
389.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6013
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51013
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85764
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6529
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
7338
9.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4400
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16612
286.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18437
318.6 IPS |
