iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
2852
Single Precision Score
4305
Half Precision Score
3583
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | August 16 2024 01:20 PM |
| Views | 7 |
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 | iPad13,10 |
| 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 | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1313
244.2 IPS |
|
|
Image Classification (HP)
|
100% |
1690
314.4 IPS |
|
|
Image Classification (Q)
|
99% |
1681
313.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1183
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5855
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13479
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11507
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.0 IPS |
|
|
Object Detection (HP)
|
97% |
1962
156.2 IPS |
|
|
Object Detection (Q)
|
94% |
1519
121.1 IPS |
|
|
Face Detection (SP)
|
100% |
2404
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4087
48.6 IPS |
|
|
Face Detection (Q)
|
100% |
2642
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5225
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8159
63.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
4072
31.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16000
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24883
32.0 IPS |
|
|
Style Transfer (Q)
|
100% |
24872
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3390
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4377
161.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3383
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3561
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3066
53.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3117
53.9 IPS |
