iPad Pro 11-inch (M4)
Geekbench AI Score
4814
Single Precision Score
36930
Half Precision Score
52674
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 05 2025 01:12 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
17340
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
25996
4.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22107
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30676
497.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9912
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122608
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232283
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.5 IPS |
|
|
Object Detection (HP)
|
100% |
18754
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26390
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4267
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
43148
512.7 IPS |
|
|
Face Detection (Q)
|
100% |
63577
755.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8614
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99783
768.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169924
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21482
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234921
302.0 IPS |
|
|
Style Transfer (Q)
|
96% |
298762
385.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6049
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50114
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88101
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6419
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6521
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4427
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16457
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18140
313.5 IPS |
