iPad15,4
Geekbench AI Score
4022
Single Precision Score
30440
Half Precision Score
34335
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 02:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,4 |
| Model ID | iPad15,4 |
| Motherboard | J608AP |
| 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% |
1551
288.5 IPS |
|
|
Image Classification (HP)
|
100% |
16405
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
18851
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21890
354.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26865
435.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8396
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
121516
141.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
120767
141.5 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
100% |
17447
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
20312
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3422
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
39679
471.5 IPS |
|
|
Face Detection (Q)
|
100% |
52065
618.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6980
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
93543
720.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
116654
912.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22006
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
226956
291.8 IPS |
|
|
Style Transfer (Q)
|
96% |
218959
282.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4986
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43122
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53743
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5489
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5444
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4500
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4711
81.4 IPS |
