iPad Pro 11-inch (M4)
Geekbench AI Score
4858
Single Precision Score
36474
Half Precision Score
51822
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | croman247 |
| Upload Date | October 06 2025 03:00 AM |
| Views | 4 |
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% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
17207
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
24037
4.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22176
359.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30622
496.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10076
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122612
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231878
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.2 IPS |
|
|
Object Detection (HP)
|
100% |
18428
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26367
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4341
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
42292
502.5 IPS |
|
|
Face Detection (Q)
|
100% |
62752
745.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8637
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98648
760.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
167816
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21986
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234984
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296816
383.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6112
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49340
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84149
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2918
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6025
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6494
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4440
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16586
285.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18172
314.0 IPS |
