iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3231
Single Precision Score
15441
Half Precision Score
14609
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 07 2024 10:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
6318
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5903
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9267
150.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9224
149.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6547
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
66162
77.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66410
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
99% |
7202
572.9 IPS |
|
|
Object Detection (Q)
|
91% |
6685
534.2 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16578
197.0 IPS |
|
|
Face Detection (Q)
|
100% |
15266
181.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5802
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47246
364.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47536
371.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17048
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119586
153.7 IPS |
|
|
Style Transfer (Q)
|
96% |
81417
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3711
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22994
849.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23633
872.7 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3925
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2562
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3182
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3343
57.8 IPS |
