iPad Pro (10.5-inch)
Geekbench AI Score
215
Single Precision Score
201
Half Precision Score
153
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 07 2024 09:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A10X Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| Model | iPad Pro (10.5-inch) |
| Model ID | iPad7,4 |
| Motherboard | J208AP |
| CPU Information | |
|---|---|
| Name | Apple A10X Fusion |
| Topology | 1 Processor, 3 Cores |
| Identifier | ARM |
| Base Frequency | 2.34 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 3.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.5 IPS |
|
|
Image Classification (Q)
|
96% |
77
14.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
124
2.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
121
1.96 IPS |
|
|
Image Segmentation (Q)
|
99% |
101
1.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
573
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
527
0.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
454
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
111
8.78 IPS |
|
|
Object Detection (HP)
|
100% |
102
8.08 IPS |
|
|
Object Detection (Q)
|
92% |
70
5.59 IPS |
|
|
Face Detection (SP)
|
100% |
247
2.93 IPS |
|
|
Face Detection (HP)
|
100% |
248
2.94 IPS |
|
|
Face Detection (Q)
|
100% |
121
1.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
262
2.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
252
1.94 IPS |
|
|
Depth Estimation (Q)
|
86% |
189
1.47 IPS |
|
|
Style Transfer (SP)
|
100% |
680
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
680
0.87 IPS |
|
|
Style Transfer (Q)
|
96% |
612
0.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
234
8.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
229
8.47 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
150
5.54 IPS |
|
|
Text Classification (SP)
|
100% |
88
118.1 IPS |
|
|
Text Classification (HP)
|
100% |
79
105.4 IPS |
|
|
Text Classification (Q)
|
93% |
79
105.5 IPS |
|
|
Machine Translation (SP)
|
100% |
211
3.64 IPS |
|
|
Machine Translation (HP)
|
100% |
169
2.91 IPS |
|
|
Machine Translation (Q)
|
98% |
173
2.99 IPS |
