iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3213
Single Precision Score
15185
Half Precision Score
15106
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 04:49 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% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
6216
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5722
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9686
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9919
160.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6490
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
66837
78.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65808
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
7170
570.3 IPS |
|
|
Object Detection (Q)
|
91% |
6746
539.1 IPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
14799
175.8 IPS |
|
|
Face Detection (Q)
|
100% |
15271
181.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5776
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47035
362.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
47433
370.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17032
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120834
155.3 IPS |
|
|
Style Transfer (Q)
|
96% |
112362
145.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3711
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22753
840.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24533
905.9 IPS |
|
|
Text Classification (SP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3666
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2581
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3356
58.0 IPS |
