iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1355
Single Precision Score
1640
Half Precision Score
788
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | raritymlp |
| Upload Date | August 16 2024 01:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
971
180.6 IPS |
|
|
Image Classification (HP)
|
100% |
1113
207.0 IPS |
|
|
Image Classification (Q)
|
99% |
1211
225.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.22 IPS |
|
|
Image Segmentation (Q)
|
100% |
382
6.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
3174
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4580
5.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
1648
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (HP)
|
100% |
1337
106.1 IPS |
|
|
Object Detection (Q)
|
92% |
181
14.5 IPS |
|
|
Face Detection (SP)
|
100% |
3680
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
4223
50.2 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
3172
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4691
36.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
4795
37.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8797
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10596
13.6 IPS |
|
|
Style Transfer (Q)
|
100% |
10624
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1563
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2306
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
396
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
225
300.1 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.2 IPS |
|
|
Text Classification (Q)
|
93% |
264
354.6 IPS |
|
|
Machine Translation (SP)
|
100% |
503
8.67 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.20 IPS |
|
|
Machine Translation (Q)
|
98% |
419
7.25 IPS |
