iPad15,7
Geekbench AI Score
3632
Single Precision Score
22289
Half Precision Score
24177
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 02 2025 06:27 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1434
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
8746
1.63 KIPS |
|
|
Image Classification (Q)
|
97% |
10091
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16297
264.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19105
309.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6936
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
95981
112.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102477
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
12431
986.1 IPS |
|
|
Object Detection (Q)
|
91% |
14812
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3362
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
30245
359.4 IPS |
|
|
Face Detection (Q)
|
100% |
38161
453.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6204
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72112
555.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
91503
715.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19113
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
173085
222.5 IPS |
|
|
Style Transfer (Q)
|
96% |
172819
223.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32378
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34297
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2058
2.75 KIPS |
|
|
Text Classification (Q)
|
93% |
1391
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7077
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8102
140.0 IPS |
