iPad15,7
Geekbench AI Score
3535
Single Precision Score
6145
Half Precision Score
5007
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 21 2025 02:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1442
268.1 IPS |
|
|
Image Classification (HP)
|
100% |
2541
472.5 IPS |
|
|
Image Classification (Q)
|
96% |
1753
327.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2621
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6633
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
14595
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12512
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2911
231.8 IPS |
|
|
Object Detection (Q)
|
94% |
2067
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6046
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3448
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6008
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11599
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7953
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18186
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29629
38.1 IPS |
|
|
Style Transfer (Q)
|
96% |
24320
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4051
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5102
188.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3855
142.4 IPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4786
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4811
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3604
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6694
115.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6740
116.5 IPS |
