iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3207
Single Precision Score
16326
Half Precision Score
16023
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Wwessex |
| Upload Date | October 08 2024 11:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
6142
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5845
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9787
158.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10046
162.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6547
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
68523
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66257
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
99% |
7234
575.5 IPS |
|
|
Object Detection (Q)
|
91% |
6657
531.9 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16483
195.9 IPS |
|
|
Face Detection (Q)
|
100% |
15181
180.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5803
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47272
364.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
47314
369.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17153
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120289
154.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114779
148.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3740
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23145
854.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24080
889.2 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3916
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5282
91.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5542
95.8 IPS |
