iPad15,7
Geekbench AI Score
3584
Single Precision Score
23157
Half Precision Score
27392
Quantized Score
Geekbench AI 1.3.0-Beta2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1442
268.2 IPS |
|
|
Image Classification (HP)
|
100% |
10098
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
12884
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16259
263.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19425
314.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6841
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
98251
114.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104567
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.6 IPS |
|
|
Object Detection (HP)
|
100% |
12834
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
15359
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
31176
370.4 IPS |
|
|
Face Detection (Q)
|
100% |
39129
464.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6140
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75374
580.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
97187
759.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18972
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
178618
229.6 IPS |
|
|
Style Transfer (Q)
|
96% |
182633
235.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4108
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33131
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38122
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2727
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2058
2.75 KIPS |
|
|
Text Classification (Q)
|
93% |
2633
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7485
128.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8488
146.7 IPS |
