iPad15,3
Geekbench AI Score
8193
Single Precision Score
9400
Half Precision Score
8642
Quantized Score
Geekbench AI 1.3.0-Beta2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:34 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% |
4034
750.3 IPS |
|
|
Image Classification (HP)
|
100% |
4229
786.4 IPS |
|
|
Image Classification (Q)
|
96% |
3861
721.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6190
100.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6440
104.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6281
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22905
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23994
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23411
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
4193
332.6 IPS |
|
|
Object Detection (HP)
|
100% |
4623
366.7 IPS |
|
|
Object Detection (Q)
|
92% |
4215
336.5 IPS |
|
|
Face Detection (SP)
|
100% |
11469
136.3 IPS |
|
|
Face Detection (HP)
|
100% |
14336
170.3 IPS |
|
|
Face Detection (Q)
|
100% |
11565
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18238
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19743
152.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
18218
142.5 IPS |
|
|
Style Transfer (SP)
|
100% |
48431
62.3 IPS |
|
|
Style Transfer (HP)
|
100% |
54984
70.7 IPS |
|
|
Style Transfer (Q)
|
96% |
53311
68.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10412
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11320
418.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9706
358.4 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5343
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5320
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1808
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1676
29.0 IPS |
