iPad15,3
Geekbench AI Score
4143
Single Precision Score
31041
Half Precision Score
34898
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | zachking |
| Upload Date | August 17 2025 04:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1617
300.7 IPS |
|
|
Image Classification (HP)
|
100% |
17268
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
19796
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21984
356.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27087
439.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8877
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121875
142.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
121093
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.4 IPS |
|
|
Object Detection (HP)
|
100% |
18051
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
21298
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
39165
465.4 IPS |
|
|
Face Detection (Q)
|
100% |
51038
606.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7172
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
97831
753.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
123169
963.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22498
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229657
295.2 IPS |
|
|
Style Transfer (Q)
|
96% |
221198
285.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5254
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46588
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55226
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5355
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5335
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3367
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4531
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4730
81.7 IPS |
