iPad15,3
Geekbench AI Score
4141
Single Precision Score
31056
Half Precision Score
34815
Quantized Score
Geekbench AI 1.3.0-Beta2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1621
301.5 IPS |
|
|
Image Classification (HP)
|
100% |
17415
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
20048
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21698
351.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26695
432.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8953
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120969
141.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
120980
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1827
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
18228
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
20521
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3549
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
39260
466.5 IPS |
|
|
Face Detection (Q)
|
100% |
51028
606.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7172
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
97914
754.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
123066
962.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22528
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
229043
294.4 IPS |
|
|
Style Transfer (Q)
|
96% |
221169
285.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5253
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46722
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55832
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5347
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5327
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3270
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4767
82.4 IPS |
