iPad15,3
Geekbench AI Score
4142
Single Precision Score
31030
Half Precision Score
34772
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 12:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| 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% |
1627
302.7 IPS |
|
|
Image Classification (HP)
|
100% |
17375
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
19983
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21923
355.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27063
438.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8937
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121408
141.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
120906
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.2 IPS |
|
|
Object Detection (HP)
|
100% |
18209
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
20507
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
39219
466.0 IPS |
|
|
Face Detection (Q)
|
100% |
50942
605.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7189
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
97767
753.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
123088
962.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22463
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229311
294.8 IPS |
|
|
Style Transfer (Q)
|
96% |
220722
284.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5236
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46756
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55992
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5277
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5252
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3274
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4531
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4736
81.8 IPS |
