iPad Pro 11-inch (M4)
Geekbench AI Score
8792
Single Precision Score
10290
Half Precision Score
9501
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TZBQWEAS |
| Upload Date | March 21 2025 01:44 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
4463
829.9 IPS |
|
|
Image Classification (HP)
|
100% |
4837
899.5 IPS |
|
|
Image Classification (Q)
|
97% |
4090
763.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4906
79.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6730
109.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7153
116.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28020
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30021
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28569
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4671
370.5 IPS |
|
|
Object Detection (HP)
|
100% |
5183
411.1 IPS |
|
|
Object Detection (Q)
|
91% |
4410
352.4 IPS |
|
|
Face Detection (SP)
|
100% |
12822
152.4 IPS |
|
|
Face Detection (HP)
|
100% |
16362
194.4 IPS |
|
|
Face Detection (Q)
|
100% |
11988
142.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20199
155.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22288
171.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19247
150.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56554
72.7 IPS |
|
|
Style Transfer (HP)
|
100% |
66912
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
62770
81.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11520
425.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12652
467.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10262
378.9 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5333
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5278
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1906
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1596
27.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2075
35.9 IPS |
