iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1300
Single Precision Score
1616
Half Precision Score
782
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 19 2024 09:27 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro 12.9-inch (4th generation) |
| Model ID | iPad8,11 |
| Motherboard | J420AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1003
186.5 IPS |
|
|
Image Classification (HP)
|
100% |
1307
243.0 IPS |
|
|
Image Classification (Q)
|
99% |
1347
251.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
100% |
387
6.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
3182
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4624
5.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
1788
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (HP)
|
100% |
1342
106.4 IPS |
|
|
Object Detection (Q)
|
92% |
185
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
3720
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
4211
50.0 IPS |
|
|
Face Detection (Q)
|
100% |
308
3.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
3163
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4755
36.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
4774
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8871
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10697
13.8 IPS |
|
|
Style Transfer (Q)
|
100% |
10701
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2270
83.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.4 IPS |
|
|
Text Classification (HP)
|
100% |
276
368.4 IPS |
|
|
Text Classification (Q)
|
93% |
275
368.9 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.98 IPS |
|
|
Machine Translation (Q)
|
98% |
289
4.99 IPS |
