iPad Pro 11-inch (M4)
Geekbench AI Score
9830
Single Precision Score
11371
Half Precision Score
10696
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 02:23 AM |
| Views | 2 |
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 | iPad16,3 |
| 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% |
4389
816.2 IPS |
|
|
Image Classification (HP)
|
100% |
4809
894.4 IPS |
|
|
Image Classification (Q)
|
96% |
4512
842.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7109
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7944
128.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7611
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27573
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29705
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29411
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4556
361.4 IPS |
|
|
Object Detection (HP)
|
100% |
5122
406.3 IPS |
|
|
Object Detection (Q)
|
92% |
4720
376.7 IPS |
|
|
Face Detection (SP)
|
100% |
12744
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
16506
196.1 IPS |
|
|
Face Detection (Q)
|
100% |
13318
158.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20599
158.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
21911
168.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20095
157.0 IPS |
|
|
Style Transfer (SP)
|
100% |
56914
73.2 IPS |
|
|
Style Transfer (HP)
|
100% |
65782
84.6 IPS |
|
|
Style Transfer (Q)
|
96% |
63601
82.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11592
428.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11397
420.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10297
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5373
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5283
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4204
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4271
73.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4441
76.7 IPS |
