iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2172
Single Precision Score
3548
Half Precision Score
2856
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 19 2025 07:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
921
171.4 IPS |
|
|
Image Classification (HP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (Q)
|
96% |
973
181.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1629
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4257
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
9297
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
7868
9.22 IPS |
|
|
Object Detection (SP)
|
100% |
994
78.8 IPS |
|
|
Object Detection (HP)
|
97% |
1574
125.3 IPS |
|
|
Object Detection (Q)
|
94% |
1139
90.8 IPS |
|
|
Face Detection (SP)
|
100% |
2171
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
3655
43.4 IPS |
|
|
Face Detection (Q)
|
100% |
2060
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3707
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6626
51.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4600
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11284
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17438
22.4 IPS |
|
|
Style Transfer (Q)
|
96% |
14268
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2479
91.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2990
110.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2247
83.0 IPS |
|
|
Text Classification (SP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2605
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1803
31.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3228
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3218
55.6 IPS |
