iPad15,7
Geekbench AI Score
3576
Single Precision Score
23223
Half Precision Score
27015
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 03 2025 11:47 AM |
| Views | 14 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
10246
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
12523
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14515
235.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19496
316.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6906
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
103410
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
103096
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
1613
127.9 IPS |
|
|
Object Detection (HP)
|
100% |
12891
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
15012
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
31259
371.4 IPS |
|
|
Face Detection (Q)
|
100% |
39693
471.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6124
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75233
579.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
95358
745.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18995
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
183993
236.5 IPS |
|
|
Style Transfer (Q)
|
96% |
174595
225.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32959
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38018
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2622
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3664
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7502
129.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8320
143.8 IPS |
