iPad Pro 11-inch (M4)
Geekbench AI Score
9369
Single Precision Score
11305
Half Precision Score
10070
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 07:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4375
813.6 IPS |
|
|
Image Classification (HP)
|
100% |
4793
891.4 IPS |
|
|
Image Classification (Q)
|
96% |
4506
841.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7161
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7884
127.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7646
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27501
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29155
34.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29529
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4564
362.0 IPS |
|
|
Object Detection (HP)
|
100% |
5161
409.4 IPS |
|
|
Object Detection (Q)
|
92% |
4760
379.9 IPS |
|
|
Face Detection (SP)
|
100% |
12635
150.1 IPS |
|
|
Face Detection (HP)
|
100% |
16587
197.1 IPS |
|
|
Face Detection (Q)
|
100% |
13351
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20384
157.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21965
169.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
20263
158.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56169
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
65638
84.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63934
82.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11499
424.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11536
426.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10324
381.2 IPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5285
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2735
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4115
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2266
39.2 IPS |
