iPad15,7
Geekbench AI Score
3513
Single Precision Score
23806
Half Precision Score
27075
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 21 2025 01:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
10361
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12397
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16263
263.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19330
313.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6383
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
97421
113.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105099
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
100% |
12777
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14409
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
31206
370.8 IPS |
|
|
Face Detection (Q)
|
100% |
39369
467.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5928
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75168
579.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
95234
744.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17775
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
179942
231.3 IPS |
|
|
Style Transfer (Q)
|
96% |
175084
225.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4098
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33067
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37468
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2685
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (Q)
|
93% |
2849
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3667
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7429
128.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8327
143.9 IPS |
