iPad Pro 11-inch (M4)
Geekbench AI Score
4705
Single Precision Score
36383
Half Precision Score
51856
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 03:56 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
16850
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
25637
4.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21947
355.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30430
493.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9992
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123459
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232824
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2233
177.1 IPS |
|
|
Object Detection (HP)
|
100% |
18414
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26103
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3963
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
42007
499.1 IPS |
|
|
Face Detection (Q)
|
100% |
62851
746.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8297
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98889
761.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169013
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25089
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234165
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
298465
385.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49969
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84867
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2993
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6069
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6122
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16389
282.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18005
311.2 IPS |
