iPad Pro (11-inch)
Geekbench AI Score
714
Single Precision Score
2472
Half Precision Score
913
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | anbG34 |
| Upload Date | August 18 2024 08:09 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,3 |
| Motherboard | J318AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
345
64.1 IPS |
|
|
Image Classification (HP)
|
100% |
2280
424.0 IPS |
|
|
Image Classification (Q)
|
99% |
2448
456.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
405
6.57 IPS |
|
|
Image Segmentation (Q)
|
100% |
414
6.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
2207
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
26882
31.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
1478
1.73 IPS |
|
|
Object Detection (SP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (HP)
|
100% |
1427
113.2 IPS |
|
|
Object Detection (Q)
|
94% |
207
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6694
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
313
3.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
1068
8.23 IPS |
|
|
Depth Estimation (HP)
|
99% |
24527
189.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
22851
176.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3543
4.55 IPS |
|
|
Style Transfer (HP)
|
100% |
3444
4.43 IPS |
|
|
Style Transfer (Q)
|
100% |
3396
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
940
34.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3859
142.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
500
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
269
359.2 IPS |
|
|
Text Classification (HP)
|
100% |
309
412.0 IPS |
|
|
Text Classification (Q)
|
93% |
301
403.9 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
98% |
358
6.20 IPS |
