iPad Pro 11-inch (M4)
Geekbench AI Score
4480
Single Precision Score
36793
Half Precision Score
52330
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2037
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
18523
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
27542
5.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20942
339.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
29529
478.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8309
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
120665
140.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
227969
267.2 IPS |
|
|
Object Detection (SP)
|
100% |
1981
157.2 IPS |
|
|
Object Detection (HP)
|
100% |
19268
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26605
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4112
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
43821
520.7 IPS |
|
|
Face Detection (Q)
|
100% |
62818
746.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5896
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98864
761.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
171916
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
23854
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234868
301.9 IPS |
|
|
Style Transfer (Q)
|
96% |
320053
413.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51202
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84729
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5643
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5667
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4517
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17147
295.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18812
325.1 IPS |
