iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1297
Single Precision Score
1598
Half Precision Score
763
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2024 11:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| 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 | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
982
182.7 IPS |
|
|
Image Classification (HP)
|
100% |
1284
238.8 IPS |
|
|
Image Classification (Q)
|
99% |
1239
231.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (Q)
|
100% |
381
6.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
3181
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4597
5.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
1734
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (HP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3803
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3170
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4787
36.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
4790
37.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8830
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10695
13.7 IPS |
|
|
Style Transfer (Q)
|
100% |
10766
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1558
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2267
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
216
288.0 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.8 IPS |
|
|
Text Classification (Q)
|
93% |
264
353.9 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
98% |
286
4.94 IPS |
