iPad15,7
Geekbench AI Score
3596
Single Precision Score
22730
Half Precision Score
26063
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 11:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1448
269.2 IPS |
|
|
Image Classification (HP)
|
100% |
10510
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
12316
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14994
243.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19395
314.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6680
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
80833
94.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105265
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
100% |
12751
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
15019
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3345
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
31034
368.8 IPS |
|
|
Face Detection (Q)
|
100% |
39729
472.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6198
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
72350
557.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
93177
728.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18648
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
176115
226.4 IPS |
|
|
Style Transfer (Q)
|
96% |
173916
224.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4133
152.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35887
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38247
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2703
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
1849
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3683
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7332
126.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8414
145.4 IPS |
