iPad15,7
Geekbench AI Score
3560
Single Precision Score
23033
Half Precision Score
27257
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
10380
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
12261
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13698
222.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19642
318.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6764
7.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
101981
119.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
103733
121.6 IPS |
|
|
Object Detection (SP)
|
100% |
1610
127.7 IPS |
|
|
Object Detection (HP)
|
100% |
12697
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14760
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
31248
371.3 IPS |
|
|
Face Detection (Q)
|
100% |
40121
476.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6078
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
75492
581.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
96638
755.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18853
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
182876
235.1 IPS |
|
|
Style Transfer (Q)
|
96% |
180367
232.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33268
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38021
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2689
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (Q)
|
93% |
2796
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3631
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7664
132.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8260
142.7 IPS |
