iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3189
Single Precision Score
15580
Half Precision Score
15291
Quantized Score
Geekbench AI 1.5.0 Corporate for iOS AArch64
Result Information
| Upload Date | September 02 2025 08:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1403
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
6251
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5851
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9652
156.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10056
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6487
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
68477
79.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66800
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
7145
568.3 IPS |
|
|
Object Detection (Q)
|
91% |
6643
530.8 IPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
16385
194.7 IPS |
|
|
Face Detection (Q)
|
100% |
15307
181.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46418
357.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
47078
367.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16937
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121049
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114617
147.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23067
851.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23811
879.2 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3869
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3518
60.8 IPS |
