iPad Pro (11-inch)
Geekbench AI Score
718
Single Precision Score
2453
Half Precision Score
904
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | mcx |
| Upload Date | August 15 2024 06:31 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
346
64.4 IPS |
|
|
Image Classification (HP)
|
100% |
2243
417.2 IPS |
|
|
Image Classification (Q)
|
99% |
2227
415.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (Q)
|
100% |
409
6.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
2214
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
26754
31.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
1474
1.73 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
846
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6490
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
299
3.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
1060
8.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
24186
186.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
23474
181.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3580
4.60 IPS |
|
|
Style Transfer (HP)
|
100% |
3497
4.49 IPS |
|
|
Style Transfer (Q)
|
100% |
3443
4.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
955
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3703
136.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
497
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
274
365.5 IPS |
|
|
Text Classification (HP)
|
100% |
309
412.7 IPS |
|
|
Text Classification (Q)
|
93% |
306
410.7 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.38 IPS |
|
|
Machine Translation (Q)
|
98% |
366
6.33 IPS |
