iPad15,7
Geekbench AI Score
3574
Single Precision Score
22687
Half Precision Score
27346
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 19 2025 05:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1426
265.2 IPS |
|
|
Image Classification (HP)
|
100% |
10260
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
12824
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13622
220.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19557
317.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6890
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
103150
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105236
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
12582
998.0 IPS |
|
|
Object Detection (Q)
|
91% |
15038
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3197
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
31346
372.5 IPS |
|
|
Face Detection (Q)
|
100% |
39108
464.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6215
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
74691
575.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
95517
746.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18996
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
179901
231.3 IPS |
|
|
Style Transfer (Q)
|
96% |
179966
232.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4099
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32957
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38267
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2663
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1967
2.63 KIPS |
|
|
Text Classification (Q)
|
93% |
2781
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3635
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7295
125.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8236
142.3 IPS |
