iPad15,4
Geekbench AI Score
4029
Single Precision Score
30995
Half Precision Score
34467
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 01:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,4 |
| Model ID | iPad15,4 |
| Motherboard | J608AP |
| 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% |
1544
287.2 IPS |
|
|
Image Classification (HP)
|
100% |
16259
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
18076
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22309
361.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27454
445.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8227
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
120827
141.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
120987
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1715
136.1 IPS |
|
|
Object Detection (HP)
|
100% |
17456
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
20228
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
39352
467.6 IPS |
|
|
Face Detection (Q)
|
100% |
51571
612.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7080
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
97205
748.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
121695
951.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21975
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
229095
294.5 IPS |
|
|
Style Transfer (Q)
|
96% |
220324
284.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4988
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48620
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54177
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5563
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4513
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4708
81.4 IPS |
