iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3236
Single Precision Score
14230
Half Precision Score
13842
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | September 19 2024 01:20 PM |
| Views | 13 |
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 | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
5976
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5530
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6605
107.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6746
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6559
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
68647
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66247
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7037
559.8 IPS |
|
|
Object Detection (Q)
|
91% |
6423
513.2 IPS |
|
|
Face Detection (SP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
15856
188.4 IPS |
|
|
Face Detection (Q)
|
100% |
14845
176.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5802
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46236
356.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
47068
367.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17125
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120297
154.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114610
147.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22733
839.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23052
851.2 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3917
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3887
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2458
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2275
39.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2268
39.2 IPS |
