iPad Pro 11-inch (2nd generation)
Geekbench AI Score
715
Single Precision Score
2449
Half Precision Score
448
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Fritzt |
| Upload Date | March 02 2025 07:16 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
340
63.2 IPS |
|
|
Image Classification (HP)
|
100% |
2234
415.4 IPS |
|
|
Image Classification (Q)
|
99% |
174
32.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2221
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
27227
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1532
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1399
110.9 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
863
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6814
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1052
8.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
22229
171.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
604
4.71 IPS |
|
|
Style Transfer (SP)
|
100% |
3533
4.54 IPS |
|
|
Style Transfer (HP)
|
100% |
3496
4.49 IPS |
|
|
Style Transfer (Q)
|
96% |
2528
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
960
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3707
136.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
500
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
267
355.9 IPS |
|
|
Text Classification (HP)
|
100% |
305
406.8 IPS |
|
|
Text Classification (Q)
|
93% |
312
419.2 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
98% |
377
6.52 IPS |
