iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1296
Single Precision Score
1604
Half Precision Score
756
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:35 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% |
973
181.0 IPS |
|
|
Image Classification (HP)
|
100% |
1270
236.1 IPS |
|
|
Image Classification (Q)
|
99% |
1164
217.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (Q)
|
100% |
373
6.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
3184
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4597
5.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
1734
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
1031
81.8 IPS |
|
|
Object Detection (HP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3633
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
4409
52.4 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3166
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4789
36.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
4777
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8829
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10772
13.8 IPS |
|
|
Style Transfer (Q)
|
100% |
10719
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2255
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
218
291.4 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.4 IPS |
|
|
Text Classification (Q)
|
93% |
264
354.1 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
98% |
287
4.95 IPS |
