iPad15,7
Geekbench AI Score
3416
Single Precision Score
22604
Half Precision Score
25382
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 12:04 PM |
| Views | 8 |
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% |
1299
241.6 IPS |
|
|
Image Classification (HP)
|
100% |
9285
1.73 KIPS |
|
|
Image Classification (Q)
|
97% |
11197
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14324
232.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19138
310.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6283
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
96593
112.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102294
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.8 IPS |
|
|
Object Detection (HP)
|
100% |
12647
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14445
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3200
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
31521
374.5 IPS |
|
|
Face Detection (Q)
|
100% |
39189
465.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5892
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71924
554.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
89382
698.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18522
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
171793
220.8 IPS |
|
|
Style Transfer (Q)
|
96% |
171860
221.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32794
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35285
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2014
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7036
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8195
141.6 IPS |
