iPad14,4
Geekbench AI Score
6949
Single Precision Score
7919
Half Precision Score
6675
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 24 2024 03:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3651
679.0 IPS |
|
|
Image Classification (HP)
|
100% |
3624
674.0 IPS |
|
|
Image Classification (Q)
|
97% |
2688
501.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4052
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5013
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4997
81.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24703
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26363
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24066
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
3683
292.2 IPS |
|
|
Object Detection (HP)
|
100% |
3729
295.8 IPS |
|
|
Object Detection (Q)
|
91% |
2818
225.2 IPS |
|
|
Face Detection (SP)
|
100% |
10313
122.5 IPS |
|
|
Face Detection (HP)
|
100% |
11871
141.1 IPS |
|
|
Face Detection (Q)
|
100% |
8149
96.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16711
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17904
137.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13761
107.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42423
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48482
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
45240
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9891
365.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10148
374.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7734
285.6 IPS |
|
|
Text Classification (SP)
|
100% |
2173
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3713
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1324
22.9 IPS |
