iPad Pro 11-inch (M4)
Geekbench AI Score
9703
Single Precision Score
11624
Half Precision Score
10490
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Neo8680 |
| Upload Date | April 07 2025 12:26 AM |
| Views | 5 |
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% |
4443
826.2 IPS |
|
|
Image Classification (HP)
|
100% |
4859
903.7 IPS |
|
|
Image Classification (Q)
|
96% |
4510
842.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7138
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7922
128.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7654
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27844
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29867
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29064
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4554
361.2 IPS |
|
|
Object Detection (HP)
|
100% |
5164
409.6 IPS |
|
|
Object Detection (Q)
|
92% |
4732
377.7 IPS |
|
|
Face Detection (SP)
|
100% |
12782
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
16605
197.3 IPS |
|
|
Face Detection (Q)
|
100% |
13393
159.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20390
157.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22433
172.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20569
160.8 IPS |
|
|
Style Transfer (SP)
|
100% |
56151
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66654
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
64371
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11437
422.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13021
480.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10990
405.8 IPS |
|
|
Text Classification (SP)
|
100% |
3034
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5471
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5647
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4292
73.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3089
53.4 IPS |
