iPad Pro 11-inch (M4)
Geekbench AI Score
9750
Single Precision Score
11449
Half Precision Score
10549
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 22 2025 01:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
4606
856.5 IPS |
|
|
Image Classification (HP)
|
100% |
5119
952.1 IPS |
|
|
Image Classification (Q)
|
96% |
4663
870.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7190
116.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8015
129.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7805
126.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27727
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29894
34.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29185
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
4648
368.7 IPS |
|
|
Object Detection (HP)
|
100% |
5242
415.8 IPS |
|
|
Object Detection (Q)
|
92% |
4801
383.2 IPS |
|
|
Face Detection (SP)
|
100% |
12759
151.6 IPS |
|
|
Face Detection (HP)
|
100% |
16691
198.3 IPS |
|
|
Face Detection (Q)
|
100% |
13513
160.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20730
159.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22746
175.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20897
163.4 IPS |
|
|
Style Transfer (SP)
|
100% |
56929
73.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66864
86.0 IPS |
|
|
Style Transfer (Q)
|
96% |
64545
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11764
434.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13417
495.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11343
418.9 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5241
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5603
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2890
49.9 IPS |
