iPad Pro (10.5-inch)
Geekbench AI Score
564
Single Precision Score
27
Half Precision Score
26
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 09:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A10X Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
343
63.8 IPS |
|
|
Image Classification (HP)
|
100% |
14
2.59 IPS |
|
|
Image Classification (Q)
|
96% |
13
2.50 IPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
19
0.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
18
0.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
1678
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
20
0.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
18
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (HP)
|
99% |
11
0.90 IPS |
|
|
Object Detection (Q)
|
93% |
11
0.90 IPS |
|
|
Face Detection (SP)
|
100% |
605
7.19 IPS |
|
|
Face Detection (HP)
|
100% |
38
0.46 IPS |
|
|
Face Detection (Q)
|
100% |
35
0.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
680
5.24 IPS |
|
|
Depth Estimation (HP)
|
98% |
26
0.20 IPS |
|
|
Depth Estimation (Q)
|
85% |
25
0.20 IPS |
|
|
Style Transfer (SP)
|
100% |
2216
2.85 IPS |
|
|
Style Transfer (HP)
|
100% |
60
0.08 IPS |
|
|
Style Transfer (Q)
|
96% |
60
0.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12
0.44 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12
0.44 IPS |
|
|
Text Classification (SP)
|
100% |
216
287.8 IPS |
|
|
Text Classification (HP)
|
100% |
188
250.3 IPS |
|
|
Text Classification (Q)
|
93% |
184
247.3 IPS |
|
|
Machine Translation (SP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (HP)
|
96% |
30
0.52 IPS |
|
|
Machine Translation (Q)
|
98% |
31
0.53 IPS |
