iPad Pro 11-inch (M4)
Geekbench AI Score
4826
Single Precision Score
7920
Half Precision Score
6336
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | CulinArchAI |
| Upload Date | September 02 2025 11:00 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2044
380.2 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.0 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3258
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3599
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9960
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19454
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16636
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
97% |
3764
299.7 IPS |
|
|
Object Detection (Q)
|
94% |
2685
214.0 IPS |
|
|
Face Detection (SP)
|
100% |
4274
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7707
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4426
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8610
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14530
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10184
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21710
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38197
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31479
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6053
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7280
268.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5069
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5496
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5508
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4413
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7077
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7045
121.7 IPS |
