iPad15,7
Geekbench AI Score
3417
Single Precision Score
22965
Half Precision Score
26177
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 03:45 AM |
| Views | 10 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
8898
1.65 KIPS |
|
|
Image Classification (Q)
|
97% |
10935
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15895
257.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18397
298.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6194
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
96000
112.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102376
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.3 IPS |
|
|
Object Detection (HP)
|
100% |
12460
988.4 IPS |
|
|
Object Detection (Q)
|
91% |
14422
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3194
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
30640
364.1 IPS |
|
|
Face Detection (Q)
|
100% |
40299
478.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5855
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71930
554.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
91496
715.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18035
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
171695
220.7 IPS |
|
|
Style Transfer (Q)
|
96% |
174207
224.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32248
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35724
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2753
3.67 KIPS |
|
|
Text Classification (Q)
|
93% |
2683
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3458
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7182
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8264
142.8 IPS |
