iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3203
Single Precision Score
15365
Half Precision Score
14981
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 04:09 PM |
| Views | 3 |
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% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
6086
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5751
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9694
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9958
161.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6486
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
67976
79.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65590
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
99% |
7157
569.3 IPS |
|
|
Object Detection (Q)
|
91% |
6516
520.6 IPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
16344
194.2 IPS |
|
|
Face Detection (Q)
|
100% |
15230
181.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5770
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46790
360.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
46585
364.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17024
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119630
153.8 IPS |
|
|
Style Transfer (Q)
|
96% |
113732
146.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3715
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23132
854.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23216
857.3 IPS |
|
|
Text Classification (SP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3786
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3752
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2470
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3190
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3311
57.2 IPS |
