iPad15,3
Geekbench AI Score
4156
Single Precision Score
30426
Half Precision Score
33630
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 31 2025 03:17 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
16256
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
17974
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22275
361.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
27312
442.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8846
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
120614
140.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
120764
141.5 IPS |
|
|
Object Detection (SP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (HP)
|
100% |
17306
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
19936
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3575
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
39398
468.1 IPS |
|
|
Face Detection (Q)
|
100% |
51657
613.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7165
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94540
728.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
113326
886.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22420
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
224459
288.5 IPS |
|
|
Style Transfer (Q)
|
96% |
216015
278.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5246
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42260
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46936
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5673
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5669
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3331
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4489
77.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4654
80.4 IPS |
