iPad15,3
Geekbench AI Score
4179
Single Precision Score
30758
Half Precision Score
34457
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | aferreiro77 |
| Upload Date | July 08 2025 01:07 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1598
297.3 IPS |
|
|
Image Classification (HP)
|
100% |
17298
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
19846
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20990
340.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25927
420.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8899
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122497
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
121125
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1868
148.2 IPS |
|
|
Object Detection (HP)
|
100% |
18123
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
20482
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
38369
455.9 IPS |
|
|
Face Detection (Q)
|
100% |
49639
589.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7156
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98105
755.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
123034
961.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22638
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
229686
295.3 IPS |
|
|
Style Transfer (Q)
|
96% |
220372
284.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5337
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46649
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55584
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5172
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5160
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4508
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4789
82.8 IPS |
