iPad15,8
Geekbench AI Score
3595
Single Precision Score
23574
Half Precision Score
25996
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Devon25836 |
| Upload Date | June 21 2025 08:42 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1452
270.0 IPS |
|
|
Image Classification (HP)
|
100% |
9907
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
11892
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16292
264.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19387
314.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6726
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
99262
115.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
102008
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
100% |
12880
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14994
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
30561
363.1 IPS |
|
|
Face Detection (Q)
|
100% |
38684
459.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6172
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
73789
568.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
90577
708.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18677
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
177122
227.7 IPS |
|
|
Style Transfer (Q)
|
96% |
174656
225.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4073
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34107
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36074
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2668
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2594
3.46 KIPS |
|
|
Text Classification (Q)
|
93% |
2199
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7272
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8235
142.3 IPS |
