iPad15,8
Geekbench AI Score
3463
Single Precision Score
22816
Half Precision Score
25969
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Devon25836 |
| Upload Date | October 08 2025 11:59 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad15,8 |
| Model ID | iPad15,8 |
| Motherboard | J482AP |
| 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% |
1289
239.7 IPS |
|
|
Image Classification (HP)
|
100% |
8651
1.61 KIPS |
|
|
Image Classification (Q)
|
97% |
10099
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13855
224.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19114
309.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6549
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
97315
113.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103010
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (HP)
|
100% |
12572
997.2 IPS |
|
|
Object Detection (Q)
|
91% |
14528
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
29850
354.7 IPS |
|
|
Face Detection (Q)
|
100% |
38569
458.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5938
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
72519
558.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
92572
723.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18827
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
178501
229.5 IPS |
|
|
Style Transfer (Q)
|
96% |
177720
229.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3994
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32862
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35943
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2862
3.82 KIPS |
|
|
Text Classification (Q)
|
93% |
2585
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7174
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8192
141.6 IPS |
