iPad15,7
Geekbench AI Score
3612
Single Precision Score
23366
Half Precision Score
27694
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Reseller777 |
| Upload Date | November 27 2025 04:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1421
264.3 IPS |
|
|
Image Classification (HP)
|
100% |
10228
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
13352
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13787
223.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19415
314.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6680
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
104762
122.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
103434
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
12637
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14442
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3320
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
31754
377.3 IPS |
|
|
Face Detection (Q)
|
100% |
40631
482.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6168
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
74485
573.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
94482
738.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18578
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
181206
232.9 IPS |
|
|
Style Transfer (Q)
|
96% |
177461
229.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4214
155.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32960
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39061
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2931
3.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3718
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7804
134.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8788
151.9 IPS |
