iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3208
Single Precision Score
5390
Half Precision Score
4420
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ItoMeasured10 |
| Upload Date | June 21 2025 08:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1415
263.2 IPS |
|
|
Image Classification (HP)
|
100% |
2204
409.9 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2545
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6500
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14230
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12201
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
97% |
2421
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
1796
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
3020
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5460
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3166
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5658
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10438
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7362
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16950
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26850
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22268
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4607
170.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3510
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3828
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3808
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2563
44.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4691
81.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4695
81.1 IPS |
