iPad15,3
Geekbench AI Score
4041
Single Precision Score
30972
Half Precision Score
34448
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 09:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1536
285.7 IPS |
|
|
Image Classification (HP)
|
100% |
16247
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
18520
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22274
361.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26842
435.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8443
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
122348
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
121004
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1728
137.1 IPS |
|
|
Object Detection (HP)
|
100% |
17530
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
20277
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3502
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
39376
467.9 IPS |
|
|
Face Detection (Q)
|
100% |
51359
610.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7092
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
97054
747.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
121512
950.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22046
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
229050
294.4 IPS |
|
|
Style Transfer (Q)
|
96% |
220483
284.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4997
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47618
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54138
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3185
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5592
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3266
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4491
77.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4704
81.3 IPS |
