iPad15,3
Geekbench AI Score
4035
Single Precision Score
27758
Half Precision Score
31133
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | November 11 2025 04:16 PM |
| Views | 11 |
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% |
1533
285.0 IPS |
|
|
Image Classification (HP)
|
100% |
15035
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
17299
3.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22305
361.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27421
444.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8387
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
117287
136.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
117411
137.6 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
100% |
16287
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
19139
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3508
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
39539
469.8 IPS |
|
|
Face Detection (Q)
|
100% |
51639
613.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7058
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71861
553.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
78850
616.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21997
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
212073
272.6 IPS |
|
|
Style Transfer (Q)
|
96% |
206746
266.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33149
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45037
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5508
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5569
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3280
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3854
66.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3802
65.7 IPS |
