iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3242
Single Precision Score
5358
Half Precision Score
4398
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | October 30 2024 07:11 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
2177
404.9 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2584
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6543
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13943
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12048
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2440
194.3 IPS |
|
|
Object Detection (Q)
|
94% |
1800
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5602
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3222
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5792
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11033
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7653
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17245
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26429
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22018
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3778
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4590
169.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3416
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3980
68.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4229
73.1 IPS |
