iPad15,7
Geekbench AI Score
3394
Single Precision Score
22741
Half Precision Score
25263
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 07:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
8836
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
11222
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16294
264.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19345
313.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6186
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
97334
113.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102321
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.7 IPS |
|
|
Object Detection (HP)
|
100% |
12360
980.4 IPS |
|
|
Object Detection (Q)
|
91% |
14711
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
30951
367.8 IPS |
|
|
Face Detection (Q)
|
100% |
39187
465.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5760
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71447
550.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
88565
692.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18236
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
169203
217.5 IPS |
|
|
Style Transfer (Q)
|
96% |
171950
221.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3827
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32664
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35247
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2816
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2485
3.32 KIPS |
|
|
Text Classification (Q)
|
93% |
1869
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7034
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8243
142.5 IPS |
