iPad15,3
Geekbench AI Score
7506
Single Precision Score
9297
Half Precision Score
8649
Quantized Score
Geekbench AI 1.3.0-Beta2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
3998
743.4 IPS |
|
|
Image Classification (HP)
|
100% |
4226
786.0 IPS |
|
|
Image Classification (Q)
|
96% |
3862
721.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6248
101.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6434
104.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6238
101.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22920
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24002
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23407
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
4195
332.8 IPS |
|
|
Object Detection (HP)
|
100% |
4643
368.3 IPS |
|
|
Object Detection (Q)
|
92% |
4237
338.2 IPS |
|
|
Face Detection (SP)
|
100% |
11456
136.1 IPS |
|
|
Face Detection (HP)
|
100% |
14394
171.0 IPS |
|
|
Face Detection (Q)
|
100% |
11617
138.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18215
140.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19755
152.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
18104
141.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44773
57.6 IPS |
|
|
Style Transfer (HP)
|
100% |
55024
70.7 IPS |
|
|
Style Transfer (Q)
|
96% |
53426
68.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5398
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11354
419.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9779
361.1 IPS |
|
|
Text Classification (SP)
|
100% |
2993
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5347
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5329
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1677
28.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1675
28.9 IPS |
