iPad Pro (10.5-inch)
Geekbench AI Score
470
Single Precision Score
436
Half Precision Score
283
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 02:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10X Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.3 |
| 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% |
248
46.0 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (Q)
|
96% |
115
21.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
198
3.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
156
2.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
1521
1.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1513
1.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
972
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (Q)
|
92% |
135
10.7 IPS |
|
|
Face Detection (SP)
|
100% |
528
6.27 IPS |
|
|
Face Detection (HP)
|
100% |
521
6.19 IPS |
|
|
Face Detection (Q)
|
100% |
209
2.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
685
5.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
625
4.81 IPS |
|
|
Depth Estimation (Q)
|
86% |
398
3.11 IPS |
|
|
Style Transfer (SP)
|
100% |
2193
2.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2181
2.80 IPS |
|
|
Style Transfer (Q)
|
96% |
1516
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
612
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
604
22.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
286
10.6 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.8 IPS |
|
|
Text Classification (HP)
|
100% |
138
184.7 IPS |
|
|
Text Classification (Q)
|
93% |
142
190.3 IPS |
|
|
Machine Translation (SP)
|
100% |
354
6.09 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
98% |
281
4.86 IPS |
