iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3233
Single Precision Score
15751
Half Precision Score
15386
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 01:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1404
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
6293
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5847
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1391
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9770
158.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9994
162.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6527
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
68640
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65663
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7211
573.6 IPS |
|
|
Object Detection (Q)
|
91% |
6747
539.1 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16474
195.8 IPS |
|
|
Face Detection (Q)
|
100% |
15414
183.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5823
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47368
364.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47831
373.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17138
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119789
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
111954
144.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23228
857.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23743
876.7 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3890
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3676
63.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3769
65.1 IPS |
