iPad Pro 11-inch (M4)
Geekbench AI Score
4829
Single Precision Score
37001
Half Precision Score
52647
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 07:18 PM |
| Views | 8 |
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, 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% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
17298
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
25220
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22204
359.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30506
494.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10005
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123022
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231430
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2400
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
18792
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26613
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4282
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
42753
508.0 IPS |
|
|
Face Detection (Q)
|
100% |
63840
758.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8600
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99874
769.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170757
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21797
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232043
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
298146
384.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6084
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49781
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84642
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6486
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6752
9.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4445
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16936
291.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18588
321.2 IPS |
