iPad15,7
Geekbench AI Score
3543
Single Precision Score
22780
Half Precision Score
26772
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 21 2025 02:25 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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
9725
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
11790
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13729
222.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19453
315.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6662
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
101911
118.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105396
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
12862
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14598
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
31287
371.8 IPS |
|
|
Face Detection (Q)
|
100% |
39269
466.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5985
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75014
577.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
96518
754.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18273
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
181120
232.8 IPS |
|
|
Style Transfer (Q)
|
96% |
179814
232.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4087
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33106
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38620
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2078
2.77 KIPS |
|
|
Text Classification (Q)
|
93% |
2446
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7355
126.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8328
143.9 IPS |
