iPad15,3
Geekbench AI Score
4115
Single Precision Score
31113
Half Precision Score
34898
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Wilson53838 |
| Upload Date | October 02 2025 12:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
17200
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
20688
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21906
355.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26938
436.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8880
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122389
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
120841
141.6 IPS |
|
|
Object Detection (SP)
|
100% |
1821
144.4 IPS |
|
|
Object Detection (HP)
|
100% |
18307
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
20274
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3535
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
39415
468.3 IPS |
|
|
Face Detection (Q)
|
100% |
50813
603.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7138
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97918
754.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
123762
967.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22480
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228533
293.8 IPS |
|
|
Style Transfer (Q)
|
96% |
221247
285.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5250
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46649
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55835
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5397
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5318
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4750
82.1 IPS |
