iPad15,7
Geekbench AI Score
3562
Single Precision Score
23329
Half Precision Score
26840
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 21 2025 02:25 AM |
| Views | 2 |
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% |
1441
267.9 IPS |
|
|
Image Classification (HP)
|
100% |
10014
1.86 KIPS |
|
|
Image Classification (Q)
|
97% |
11884
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16447
266.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19406
314.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6792
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
102272
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105543
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
12743
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14894
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
31249
371.3 IPS |
|
|
Face Detection (Q)
|
100% |
39241
466.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6087
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
75267
579.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
96782
756.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18818
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
182069
234.1 IPS |
|
|
Style Transfer (Q)
|
96% |
178719
230.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4055
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33334
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38827
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (Q)
|
93% |
2470
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7509
129.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8224
142.1 IPS |
