iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
720
Single Precision Score
2484
Half Precision Score
451
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | shagger1111 |
| Upload Date | April 10 2025 12:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,8 |
| Motherboard | J321xAP |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
343
63.8 IPS |
|
|
Image Classification (HP)
|
100% |
2402
446.7 IPS |
|
|
Image Classification (Q)
|
99% |
178
33.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2237
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
27587
32.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
1538
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (Q)
|
94% |
207
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
847
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6578
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1054
8.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
23054
177.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
601
4.69 IPS |
|
|
Style Transfer (SP)
|
100% |
3561
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3391
4.36 IPS |
|
|
Style Transfer (Q)
|
96% |
2482
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3751
138.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
511
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.7 IPS |
|
|
Text Classification (HP)
|
100% |
316
421.6 IPS |
|
|
Text Classification (Q)
|
93% |
313
419.8 IPS |
|
|
Machine Translation (SP)
|
100% |
505
8.69 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (Q)
|
98% |
381
6.59 IPS |
