iPad Pro 11-inch (M4)
Geekbench AI Score
4842
Single Precision Score
36454
Half Precision Score
51696
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 01:43 AM |
| Views | 1 |
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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
17419
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
25565
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2218
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22132
358.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30430
493.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10012
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122894
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231129
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
18428
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26014
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4318
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
42070
499.9 IPS |
|
|
Face Detection (Q)
|
100% |
63260
751.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8603
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98745
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
165833
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21952
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234656
301.7 IPS |
|
|
Style Transfer (Q)
|
96% |
297017
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6069
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48926
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83677
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2902
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6068
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6177
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4425
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16403
282.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18098
312.8 IPS |
