iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3238
Single Precision Score
14491
Half Precision Score
14113
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 10:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
6271
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5817
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6622
107.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6760
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6543
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68708
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66111
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
7357
585.2 IPS |
|
|
Object Detection (Q)
|
91% |
6730
537.7 IPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16121
191.5 IPS |
|
|
Face Detection (Q)
|
100% |
15046
178.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5814
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47236
363.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47581
371.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17179
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120586
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
114883
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3763
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23105
853.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23784
878.2 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3952
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3925
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2320
40.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2335
40.4 IPS |
