iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3183
Single Precision Score
15654
Half Precision Score
15352
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 09:10 AM |
| Views | 3 |
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% |
1389
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
6214
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5876
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9688
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9970
161.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6488
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
69370
80.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66972
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (HP)
|
99% |
7211
573.7 IPS |
|
|
Object Detection (Q)
|
91% |
6689
534.5 IPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
16442
195.4 IPS |
|
|
Face Detection (Q)
|
100% |
15229
181.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5649
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47203
363.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47445
370.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16988
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121057
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115195
148.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3682
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23184
856.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23937
883.9 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3824
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3806
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2522
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3656
63.2 IPS |
