iPad15,3
Geekbench AI Score
4133
Single Precision Score
31092
Half Precision Score
35029
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | aqus |
| Upload Date | December 27 2025 05:00 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
17563
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
20056
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21706
351.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27115
439.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8934
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122480
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
120890
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.8 IPS |
|
|
Object Detection (HP)
|
100% |
18266
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
20569
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3595
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
39222
466.0 IPS |
|
|
Face Detection (Q)
|
100% |
51134
607.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7172
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
97871
754.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
122817
960.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22504
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
227738
292.8 IPS |
|
|
Style Transfer (Q)
|
96% |
220010
283.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5248
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46904
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58103
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5310
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5384
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3285
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4547
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4759
82.2 IPS |
