iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3257
Single Precision Score
14395
Half Precision Score
13905
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | neysan |
| Upload Date | September 22 2024 09:19 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
6055
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5634
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6654
107.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6748
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
69428
81.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66971
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7263
577.7 IPS |
|
|
Object Detection (Q)
|
91% |
6444
514.9 IPS |
|
|
Face Detection (SP)
|
100% |
3076
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
16281
193.5 IPS |
|
|
Face Detection (Q)
|
100% |
15002
178.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47563
366.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
46659
364.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17333
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121093
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114943
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3831
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22414
827.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22888
845.1 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3874
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3852
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2311
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2322
40.1 IPS |
