iPad16,5
Geekbench AI Score
8045
Single Precision Score
9014
Half Precision Score
2915
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Helwar |
| Upload Date | September 28 2024 05:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4247
789.9 IPS |
|
|
Image Classification (HP)
|
100% |
4589
853.4 IPS |
|
|
Image Classification (Q)
|
97% |
3447
643.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4755
77.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6494
105.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6932
112.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28312
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30220
35.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
27901
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
4550
360.9 IPS |
|
|
Object Detection (HP)
|
100% |
4958
393.3 IPS |
|
|
Object Detection (Q)
|
92% |
3948
315.1 IPS |
|
|
Face Detection (SP)
|
100% |
12111
143.9 IPS |
|
|
Face Detection (HP)
|
100% |
15227
180.9 IPS |
|
|
Face Detection (Q)
|
100% |
10907
129.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20071
154.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22255
171.5 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
140.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57914
74.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67298
86.5 IPS |
|
|
Style Transfer (Q)
|
96% |
63091
81.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11473
423.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12599
465.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10032
370.4 IPS |
|
|
Text Classification (SP)
|
100% |
1682
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (Q)
|
93% |
1293
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1608
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1888
32.6 IPS |
