iPad15,7
Geekbench AI Score
3569
Single Precision Score
22688
Half Precision Score
26434
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 03 2025 03:12 AM |
| Views | 10 |
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% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
9955
1.85 KIPS |
|
|
Image Classification (Q)
|
97% |
11857
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14036
227.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19403
314.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6852
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
98089
114.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105302
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
12993
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14747
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
31321
372.2 IPS |
|
|
Face Detection (Q)
|
100% |
39392
468.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6016
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75135
578.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
95304
745.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19053
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
172166
221.3 IPS |
|
|
Style Transfer (Q)
|
96% |
179415
231.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33040
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37223
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2683
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2045
2.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2274
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7413
127.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8179
141.3 IPS |
