iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3228
Single Precision Score
14465
Half Precision Score
14077
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | KubaRocks |
| Upload Date | October 24 2024 09:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
6223
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5850
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6621
107.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6747
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6532
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
68530
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66134
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
7222
574.5 IPS |
|
|
Object Detection (Q)
|
91% |
6673
533.2 IPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16604
197.3 IPS |
|
|
Face Detection (Q)
|
100% |
15231
181.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5822
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47293
364.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
47264
369.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17200
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119786
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
114876
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3751
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23076
852.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23658
873.6 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3930
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3905
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2474
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2307
39.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2297
39.7 IPS |
