iPad Pro (11-inch)
Geekbench AI Score
1184
Single Precision Score
1475
Half Precision Score
410
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 08:04 AM |
| Views | 1 |
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% |
840
156.3 IPS |
|
|
Image Classification (HP)
|
100% |
1187
220.7 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
221
3.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
2804
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3975
4.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
1707
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
970
77.0 IPS |
|
|
Object Detection (HP)
|
100% |
1288
102.2 IPS |
|
|
Object Detection (Q)
|
92% |
180
14.4 IPS |
|
|
Face Detection (SP)
|
100% |
3462
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
4161
49.4 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
2855
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4164
32.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
535
4.18 IPS |
|
|
Style Transfer (SP)
|
100% |
7837
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9510
12.2 IPS |
|
|
Style Transfer (Q)
|
96% |
2944
3.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1382
51.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1850
68.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
206
275.6 IPS |
|
|
Text Classification (HP)
|
100% |
258
344.7 IPS |
|
|
Text Classification (Q)
|
93% |
257
345.6 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.74 IPS |
|
|
Machine Translation (Q)
|
98% |
273
4.72 IPS |
