iPad15,7
Geekbench AI Score
3642
Single Precision Score
21799
Half Precision Score
24353
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 05:33 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 | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1454
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
8910
1.66 KIPS |
|
|
Image Classification (Q)
|
97% |
11347
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14949
242.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19183
311.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7002
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
95373
111.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102172
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1615
128.1 IPS |
|
|
Object Detection (HP)
|
100% |
11973
949.7 IPS |
|
|
Object Detection (Q)
|
91% |
13230
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3360
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
30041
357.0 IPS |
|
|
Face Detection (Q)
|
100% |
38139
453.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6237
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
72037
555.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
89277
698.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19295
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
171455
220.4 IPS |
|
|
Style Transfer (Q)
|
96% |
170485
220.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4094
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32437
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35956
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2746
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1848
2.47 KIPS |
|
|
Text Classification (Q)
|
93% |
1477
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7163
123.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8092
139.8 IPS |
