iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3227
Single Precision Score
14313
Half Precision Score
13965
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 07:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
6249
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5828
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6604
107.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6760
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
66971
78.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65671
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
7196
572.5 IPS |
|
|
Object Detection (Q)
|
91% |
6657
531.9 IPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16100
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
15067
179.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5833
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46928
361.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
46872
366.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17110
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119759
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
111553
144.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22867
844.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23515
868.3 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3812
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3870
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2301
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2285
39.5 IPS |
