iPad Pro (11-inch)
Geekbench AI Score
711
Single Precision Score
2420
Half Precision Score
895
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | andaryjos |
| Upload Date | August 25 2024 10:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,1 |
| Motherboard | J317AP |
| 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% |
337
62.6 IPS |
|
|
Image Classification (HP)
|
100% |
2169
403.4 IPS |
|
|
Image Classification (Q)
|
99% |
2181
406.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (Q)
|
100% |
400
6.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
2250
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
27261
31.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
1486
1.74 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
842
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
6438
76.5 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1056
8.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
22855
176.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
22786
176.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3560
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3487
4.48 IPS |
|
|
Style Transfer (Q)
|
100% |
3451
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
955
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3622
133.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
477
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
262
349.8 IPS |
|
|
Text Classification (HP)
|
100% |
303
403.9 IPS |
|
|
Text Classification (Q)
|
93% |
300
402.4 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.52 IPS |
|
|
Machine Translation (Q)
|
98% |
375
6.49 IPS |
