iPad Pro 11-inch (M4)
Geekbench AI Score
4786
Single Precision Score
36899
Half Precision Score
53503
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 21 2025 09:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
18028
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
25575
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21977
356.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30316
491.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9957
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122533
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
229676
269.2 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
18759
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26451
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
43203
513.3 IPS |
|
|
Face Detection (Q)
|
100% |
63717
757.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8455
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99358
765.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
169919
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21042
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
233860
300.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298301
384.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5978
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49571
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86393
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6381
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
8212
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
4327
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16183
278.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17811
307.8 IPS |
