iPad15,7
Geekbench AI Score
3418
Single Precision Score
22545
Half Precision Score
26036
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 07:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
9119
1.70 KIPS |
|
|
Image Classification (Q)
|
97% |
11453
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13673
221.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19205
311.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6320
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
101311
118.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102398
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1495
118.6 IPS |
|
|
Object Detection (HP)
|
100% |
12272
973.4 IPS |
|
|
Object Detection (Q)
|
91% |
14615
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3135
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
31823
378.1 IPS |
|
|
Face Detection (Q)
|
100% |
39591
470.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5973
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71761
552.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
88751
693.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18487
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
175094
225.1 IPS |
|
|
Style Transfer (Q)
|
96% |
172361
222.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33132
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34915
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2465
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7068
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8344
144.2 IPS |
