iPad15,3
Geekbench AI Score
8280
Single Precision Score
9517
Half Precision Score
8613
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 02:13 PM |
| Views | 3 |
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% |
4009
745.6 IPS |
|
|
Image Classification (HP)
|
100% |
4222
785.1 IPS |
|
|
Image Classification (Q)
|
96% |
3848
718.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6247
101.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6437
104.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6213
100.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22916
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23982
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23410
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
4183
331.8 IPS |
|
|
Object Detection (HP)
|
100% |
4616
366.2 IPS |
|
|
Object Detection (Q)
|
92% |
4208
335.9 IPS |
|
|
Face Detection (SP)
|
100% |
11409
135.6 IPS |
|
|
Face Detection (HP)
|
100% |
14297
169.9 IPS |
|
|
Face Detection (Q)
|
100% |
11562
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18208
140.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19739
152.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
18087
141.4 IPS |
|
|
Style Transfer (SP)
|
100% |
48444
62.3 IPS |
|
|
Style Transfer (HP)
|
100% |
55000
70.7 IPS |
|
|
Style Transfer (Q)
|
96% |
53309
68.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10394
383.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11294
417.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9683
357.5 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5387
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5276
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2041
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2147
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1676
29.0 IPS |
