iPad15,7
Geekbench AI Score
3432
Single Precision Score
22263
Half Precision Score
26099
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 02:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
8836
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
11225
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14575
236.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19035
308.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6380
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
96957
113.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102107
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
100% |
12597
999.2 IPS |
|
|
Object Detection (Q)
|
91% |
14277
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
30377
360.9 IPS |
|
|
Face Detection (Q)
|
100% |
40336
479.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5848
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71292
549.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
89508
699.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18615
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
170236
218.8 IPS |
|
|
Style Transfer (Q)
|
96% |
171633
221.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3844
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32493
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36250
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2240
2.99 KIPS |
|
|
Text Classification (Q)
|
93% |
2565
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7090
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8173
141.2 IPS |
