iPad15,3
Geekbench AI Score
4139
Single Precision Score
31080
Half Precision Score
34847
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 09 2025 10:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1625
302.2 IPS |
|
|
Image Classification (HP)
|
100% |
17531
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
19957
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21970
356.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
26655
432.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8935
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120890
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
120982
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
100% |
18226
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
20896
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3545
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
38944
462.7 IPS |
|
|
Face Detection (Q)
|
100% |
50961
605.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7152
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97852
753.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
123583
966.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22465
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228563
293.8 IPS |
|
|
Style Transfer (Q)
|
96% |
221420
285.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5246
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46662
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55872
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5347
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5293
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4561
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4762
82.3 IPS |
