iPad15,3
Geekbench AI Score
8089
Single Precision Score
9437
Half Precision Score
8777
Quantized Score
Geekbench AI 1.3.0-Beta2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:37 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% |
4007
745.1 IPS |
|
|
Image Classification (HP)
|
100% |
4236
787.8 IPS |
|
|
Image Classification (Q)
|
96% |
3862
721.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6245
101.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6430
104.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6268
101.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22919
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24000
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23414
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
4196
332.8 IPS |
|
|
Object Detection (HP)
|
100% |
4641
368.1 IPS |
|
|
Object Detection (Q)
|
92% |
4223
337.1 IPS |
|
|
Face Detection (SP)
|
100% |
11472
136.3 IPS |
|
|
Face Detection (HP)
|
100% |
14414
171.3 IPS |
|
|
Face Detection (Q)
|
100% |
11619
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18231
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19796
152.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
18107
141.6 IPS |
|
|
Style Transfer (SP)
|
100% |
48391
62.2 IPS |
|
|
Style Transfer (HP)
|
100% |
55044
70.8 IPS |
|
|
Style Transfer (Q)
|
96% |
53476
69.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10594
391.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11355
419.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9772
360.8 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5354
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5321
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1565
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1935
33.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1938
33.5 IPS |
