iPad Pro 11-inch (M4)
Geekbench AI Score
4819
Single Precision Score
36691
Half Precision Score
51640
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 24 2025 07:29 PM |
| Views | 3 |
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 | iPad16,4 |
| Motherboard | J718AP |
| 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% |
2086
387.9 IPS |
|
|
Image Classification (HP)
|
100% |
17275
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
25035
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22121
358.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30499
494.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9938
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122616
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231625
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2405
190.7 IPS |
|
|
Object Detection (HP)
|
100% |
18237
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26021
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4276
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
43242
513.8 IPS |
|
|
Face Detection (Q)
|
100% |
63091
749.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8600
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98728
760.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
167660
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21483
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233046
299.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298054
384.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6043
223.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48916
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82826
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6473
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6221
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4438
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16429
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18042
311.8 IPS |
