iPad15,7
Geekbench AI Score
3577
Single Precision Score
22885
Half Precision Score
27810
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 20 2025 03:53 AM |
| Views | 11 |
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% |
1372
255.1 IPS |
|
|
Image Classification (HP)
|
100% |
10254
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
12506
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14200
230.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19428
314.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7071
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
97218
113.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104510
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1618
128.3 IPS |
|
|
Object Detection (HP)
|
100% |
12805
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14798
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
31012
368.5 IPS |
|
|
Face Detection (Q)
|
100% |
40232
478.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6123
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75515
581.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
96912
757.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19225
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
178902
230.0 IPS |
|
|
Style Transfer (Q)
|
96% |
181709
234.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4111
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32835
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37460
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2680
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3374
4.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3634
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7497
129.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8225
142.1 IPS |
