iPad Pro (11-inch)
Geekbench AI Score
1186
Single Precision Score
1464
Half Precision Score
410
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 07:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 3.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
842
156.6 IPS |
|
|
Image Classification (HP)
|
100% |
1176
218.7 IPS |
|
|
Image Classification (Q)
|
96% |
155
29.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
2804
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3977
4.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
1691
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
967
76.7 IPS |
|
|
Object Detection (HP)
|
100% |
1240
98.3 IPS |
|
|
Object Detection (Q)
|
92% |
178
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3402
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
3998
47.5 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
2865
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4194
32.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
534
4.17 IPS |
|
|
Style Transfer (SP)
|
100% |
7833
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9489
12.2 IPS |
|
|
Style Transfer (Q)
|
96% |
2976
3.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
209
278.7 IPS |
|
|
Text Classification (HP)
|
100% |
257
342.7 IPS |
|
|
Text Classification (Q)
|
93% |
254
340.5 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (Q)
|
98% |
274
4.73 IPS |
