iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3210
Single Precision Score
15658
Half Precision Score
15339
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 07:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
6267
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5916
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9658
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9990
162.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6480
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
66890
78.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66536
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
7214
573.8 IPS |
|
|
Object Detection (Q)
|
91% |
6698
535.2 IPS |
|
|
Face Detection (SP)
|
100% |
3029
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16634
197.6 IPS |
|
|
Face Detection (Q)
|
100% |
15255
181.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5640
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47328
364.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
47732
373.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16992
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120209
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
111228
143.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3689
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22988
848.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23679
874.4 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3928
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3895
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2544
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3550
61.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3667
63.4 IPS |
