iPad16,3
Geekbench AI Score
8037
Single Precision Score
9047
Half Precision Score
2914
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 16 2024 11:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4240
788.5 IPS |
|
|
Image Classification (HP)
|
100% |
4640
862.9 IPS |
|
|
Image Classification (Q)
|
97% |
3441
642.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4826
78.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6532
105.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6915
112.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28260
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30131
35.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
27866
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
4581
363.4 IPS |
|
|
Object Detection (HP)
|
100% |
4980
395.0 IPS |
|
|
Object Detection (Q)
|
92% |
3940
314.5 IPS |
|
|
Face Detection (SP)
|
100% |
12235
145.4 IPS |
|
|
Face Detection (HP)
|
100% |
15272
181.5 IPS |
|
|
Face Detection (Q)
|
100% |
10986
130.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20076
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22252
171.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
144.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55957
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67898
87.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63257
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11441
422.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12676
468.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9804
362.0 IPS |
|
|
Text Classification (SP)
|
100% |
1628
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1630
2.18 KIPS |
|
|
Text Classification (Q)
|
93% |
1312
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1659
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1696
29.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1895
32.7 IPS |
