iPad15,7
Geekbench AI Score
3549
Single Precision Score
23362
Half Precision Score
27087
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 12 2025 01:41 PM |
| Views | 4 |
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% |
1438
267.4 IPS |
|
|
Image Classification (HP)
|
100% |
10204
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
12795
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1458
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16224
263.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19411
314.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6640
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
103327
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105818
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.9 IPS |
|
|
Object Detection (HP)
|
100% |
12865
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14671
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3257
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
31358
372.6 IPS |
|
|
Face Detection (Q)
|
100% |
39321
467.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5994
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75170
579.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
95660
747.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18435
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
182139
234.1 IPS |
|
|
Style Transfer (Q)
|
96% |
179848
232.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32855
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37484
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2672
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2045
2.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2622
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3631
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7630
131.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8296
143.4 IPS |
