iPad15,7
Geekbench AI Score
3427
Single Precision Score
22347
Half Precision Score
25099
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1329
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
9672
1.80 KIPS |
|
|
Image Classification (Q)
|
97% |
11782
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16226
263.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19260
312.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6474
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
97551
113.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102505
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.1 IPS |
|
|
Object Detection (HP)
|
100% |
12321
977.3 IPS |
|
|
Object Detection (Q)
|
91% |
14075
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
31718
376.9 IPS |
|
|
Face Detection (Q)
|
100% |
40561
481.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5889
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
72227
556.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
89293
698.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18775
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
171556
220.5 IPS |
|
|
Style Transfer (Q)
|
96% |
172602
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3845
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32599
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35252
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2765
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1820
2.43 KIPS |
|
|
Text Classification (Q)
|
93% |
1688
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7062
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8147
140.8 IPS |
