iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1291
Single Precision Score
1584
Half Precision Score
420
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 17 2025 09:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1014
188.5 IPS |
|
|
Image Classification (HP)
|
100% |
1153
214.4 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
348
5.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
3183
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4589
5.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1812
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
1028
81.5 IPS |
|
|
Object Detection (HP)
|
100% |
1343
106.5 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3640
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
4246
50.5 IPS |
|
|
Face Detection (Q)
|
100% |
296
3.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
3145
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4761
36.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.31 IPS |
|
|
Style Transfer (SP)
|
100% |
8869
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10658
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
3147
4.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1545
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2266
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
221
294.5 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.3 IPS |
|
|
Text Classification (Q)
|
93% |
261
350.7 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
98% |
286
4.94 IPS |
