iPad15,7
Geekbench AI Score
3445
Single Precision Score
21946
Half Precision Score
24710
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 18 2025 11:19 AM |
| Views | 6 |
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% |
1335
248.2 IPS |
|
|
Image Classification (HP)
|
100% |
9269
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
11402
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14405
233.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19231
311.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6535
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
95252
111.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
102286
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
100% |
12234
970.4 IPS |
|
|
Object Detection (Q)
|
91% |
13903
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
30716
365.0 IPS |
|
|
Face Detection (Q)
|
100% |
40233
478.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5881
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71862
553.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
87353
683.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18859
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
169332
217.7 IPS |
|
|
Style Transfer (Q)
|
96% |
172258
222.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3858
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32634
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34865
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1917
2.56 KIPS |
|
|
Text Classification (Q)
|
93% |
1584
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7126
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8141
140.7 IPS |
