iPad15,7
Geekbench AI Score
3460
Single Precision Score
22262
Half Precision Score
25303
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 02:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
8865
1.65 KIPS |
|
|
Image Classification (Q)
|
97% |
11671
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16191
262.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19243
312.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6494
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
97586
113.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102246
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
100% |
12432
986.1 IPS |
|
|
Object Detection (Q)
|
91% |
14615
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3284
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
30020
356.7 IPS |
|
|
Face Detection (Q)
|
100% |
37709
448.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6005
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71894
553.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
90056
704.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18779
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
172631
221.9 IPS |
|
|
Style Transfer (Q)
|
96% |
173661
224.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3833
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32694
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37674
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1962
2.62 KIPS |
|
|
Text Classification (Q)
|
93% |
1751
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7187
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8242
142.4 IPS |
