iPad15,7
Geekbench AI Score
3448
Single Precision Score
22348
Half Precision Score
26336
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DDriver |
| Upload Date | October 13 2025 08:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
8788
1.63 KIPS |
|
|
Image Classification (Q)
|
97% |
11196
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13624
220.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19111
309.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6419
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
96476
112.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102287
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
100% |
12480
989.9 IPS |
|
|
Object Detection (Q)
|
91% |
14814
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
30120
357.9 IPS |
|
|
Face Detection (Q)
|
100% |
38871
461.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5983
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
72301
557.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
92362
722.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18336
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
173066
222.5 IPS |
|
|
Style Transfer (Q)
|
96% |
174684
225.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3848
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32563
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35635
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2804
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2481
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2668
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7080
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8304
143.5 IPS |
