iPad Pro (10.5-inch)
Geekbench AI Score
462
Single Precision Score
425
Half Precision Score
274
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 09:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10X Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Pro (10.5-inch) |
| Model ID | iPad7,3 |
| Motherboard | J207AP |
| 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% |
250
46.6 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.0 IPS |
|
|
Image Classification (Q)
|
96% |
117
21.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
158
2.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
1553
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1466
1.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
946
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (Q)
|
92% |
129
10.3 IPS |
|
|
Face Detection (SP)
|
100% |
532
6.32 IPS |
|
|
Face Detection (HP)
|
100% |
530
6.30 IPS |
|
|
Face Detection (Q)
|
100% |
211
2.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
690
5.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
630
4.85 IPS |
|
|
Depth Estimation (Q)
|
86% |
397
3.10 IPS |
|
|
Style Transfer (SP)
|
100% |
2139
2.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1988
2.56 IPS |
|
|
Style Transfer (Q)
|
96% |
1388
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
579
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
574
21.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
266
9.84 IPS |
|
|
Text Classification (SP)
|
100% |
155
206.6 IPS |
|
|
Text Classification (HP)
|
100% |
130
173.8 IPS |
|
|
Text Classification (Q)
|
93% |
131
176.0 IPS |
|
|
Machine Translation (SP)
|
100% |
341
5.88 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (Q)
|
98% |
269
4.65 IPS |
