iPad Pro 13-inch (M4)
Geekbench AI Score
8708
Single Precision Score
10475
Half Precision Score
9460
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | zensage42 |
| Upload Date | December 23 2024 04:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4351
809.1 IPS |
|
|
Image Classification (HP)
|
100% |
4784
889.6 IPS |
|
|
Image Classification (Q)
|
97% |
4109
766.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4799
77.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6699
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7105
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27651
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29862
34.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
28418
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4613
365.9 IPS |
|
|
Object Detection (HP)
|
100% |
5163
409.5 IPS |
|
|
Object Detection (Q)
|
91% |
4398
351.4 IPS |
|
|
Face Detection (SP)
|
100% |
12651
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
16202
192.5 IPS |
|
|
Face Detection (Q)
|
100% |
11856
140.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20246
156.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22203
171.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
19321
151.0 IPS |
|
|
Style Transfer (SP)
|
100% |
56690
72.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66317
85.3 IPS |
|
|
Style Transfer (Q)
|
96% |
62456
80.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11457
423.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12828
473.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10228
377.7 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5185
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5166
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1906
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2029
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2083
36.0 IPS |
