iPad15,3
Geekbench AI Score
4144
Single Precision Score
31115
Half Precision Score
34768
Quantized Score
Geekbench AI 1.3.0-Beta2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1619
301.1 IPS |
|
|
Image Classification (HP)
|
100% |
17415
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
20076
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22003
356.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26647
432.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8945
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121221
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120883
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1829
145.1 IPS |
|
|
Object Detection (HP)
|
100% |
18233
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
20561
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3557
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
39159
465.3 IPS |
|
|
Face Detection (Q)
|
100% |
50905
604.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7170
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97954
754.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
123260
963.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22518
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229189
294.6 IPS |
|
|
Style Transfer (Q)
|
96% |
219857
283.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5243
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46916
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55737
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5352
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5326
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3273
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4551
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4741
81.9 IPS |
