iPad15,3
Geekbench AI Score
2474
Single Precision Score
21263
Half Precision Score
23191
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | December 12 2025 10:15 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
929
172.8 IPS |
|
|
Image Classification (HP)
|
100% |
11312
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
13259
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1089
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15070
244.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18146
294.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5146
6.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
78045
91.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
77367
90.7 IPS |
|
|
Object Detection (SP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (HP)
|
100% |
13984
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
13890
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
2135
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
26809
318.5 IPS |
|
|
Face Detection (Q)
|
100% |
34592
411.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4271
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
65324
503.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
81471
637.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13199
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
162458
208.8 IPS |
|
|
Style Transfer (Q)
|
96% |
153259
197.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3079
113.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34364
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38090
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2047
2.73 KIPS |
|
|
Text Classification (HP)
|
99% |
3437
4.59 KIPS |
|
|
Text Classification (Q)
|
93% |
3421
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3022
52.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3093
53.4 IPS |
