iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3268
Single Precision Score
4858
Half Precision Score
4023
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | August 16 2024 08:53 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1520
282.7 IPS |
|
|
Image Classification (HP)
|
100% |
1925
357.9 IPS |
|
|
Image Classification (Q)
|
99% |
1917
357.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1304
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6117
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14427
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12416
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.0 IPS |
|
|
Object Detection (HP)
|
97% |
2282
181.7 IPS |
|
|
Object Detection (Q)
|
94% |
1742
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
4504
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
2907
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5388
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8640
66.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4410
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17382
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27365
35.2 IPS |
|
|
Style Transfer (Q)
|
100% |
27410
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5020
185.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3576
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3552
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4667
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4604
79.6 IPS |
