iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3206
Single Precision Score
15444
Half Precision Score
15275
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 28 2025 09:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1383
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
6157
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5803
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9302
150.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10105
163.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6475
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
68197
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66935
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7216
574.0 IPS |
|
|
Object Detection (Q)
|
91% |
6732
537.9 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16699
198.4 IPS |
|
|
Face Detection (Q)
|
100% |
15274
181.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5799
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47293
364.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
47353
370.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17109
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120471
154.9 IPS |
|
|
Style Transfer (Q)
|
96% |
114810
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3741
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23256
858.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23923
883.4 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3832
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3905
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2482
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3231
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3375
58.3 IPS |
