iPad Pro (11-inch)
Geekbench AI Score
724
Single Precision Score
2490
Half Precision Score
448
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | howells |
| Upload Date | December 15 2024 05:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,1 |
| Motherboard | J317AP |
| 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% |
338
62.9 IPS |
|
|
Image Classification (HP)
|
100% |
2574
478.7 IPS |
|
|
Image Classification (Q)
|
99% |
179
33.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
413
6.69 IPS |
|
|
Image Segmentation (Q)
|
99% |
222
3.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2214
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
27381
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1500
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
1477
117.1 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
853
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6465
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1063
8.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
22520
173.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
605
4.73 IPS |
|
|
Style Transfer (SP)
|
100% |
3516
4.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3417
4.39 IPS |
|
|
Style Transfer (Q)
|
96% |
2513
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
974
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3738
138.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
502
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
306
408.5 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.3 IPS |
|
|
Text Classification (Q)
|
93% |
309
414.4 IPS |
|
|
Machine Translation (SP)
|
100% |
497
8.55 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
98% |
377
6.52 IPS |
