iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
2865
Single Precision Score
4322
Half Precision Score
3719
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Rabesocke |
| Upload Date | September 06 2024 09:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
1706
317.2 IPS |
|
|
Image Classification (Q)
|
96% |
1293
241.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1187
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1673
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5866
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
13510
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11676
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
97% |
1966
156.5 IPS |
|
|
Object Detection (Q)
|
94% |
1520
121.2 IPS |
|
|
Face Detection (SP)
|
100% |
2434
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
4094
48.7 IPS |
|
|
Face Detection (Q)
|
100% |
2638
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5209
40.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
8181
63.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6158
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15987
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24942
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20910
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3408
125.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4400
162.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3423
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3741
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3698
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1851
31.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3093
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3072
53.1 IPS |
