iPad Pro (11-inch)
Geekbench AI Score
1247
Single Precision Score
1552
Half Precision Score
434
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ajsolomon |
| Upload Date | May 27 2025 03:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,3 |
| Motherboard | J318AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
843
156.8 IPS |
|
|
Image Classification (HP)
|
100% |
1201
223.4 IPS |
|
|
Image Classification (Q)
|
96% |
155
28.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
355
5.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
221
3.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3985
4.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1704
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (HP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (Q)
|
92% |
181
14.5 IPS |
|
|
Face Detection (SP)
|
100% |
3445
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (Q)
|
100% |
296
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
2889
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4183
32.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
533
4.16 IPS |
|
|
Style Transfer (SP)
|
100% |
7877
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9535
12.3 IPS |
|
|
Style Transfer (Q)
|
96% |
2991
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1391
51.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1856
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
397
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
210
280.1 IPS |
|
|
Text Classification (HP)
|
100% |
260
347.1 IPS |
|
|
Text Classification (Q)
|
93% |
258
346.6 IPS |
|
|
Machine Translation (SP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (Q)
|
98% |
467
8.07 IPS |
