iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3233
Single Precision Score
16228
Half Precision Score
15955
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | October 26 2024 02:23 AM |
| Views | 4 |
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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
6139
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5789
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9658
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10010
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6540
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
66658
77.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66421
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
7189
571.9 IPS |
|
|
Object Detection (Q)
|
91% |
6676
533.4 IPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16451
195.5 IPS |
|
|
Face Detection (Q)
|
100% |
15140
179.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5838
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47207
363.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47541
371.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17117
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120150
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
112172
144.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22935
846.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23539
869.2 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3958
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3957
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2493
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5265
90.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5532
95.6 IPS |
