iPad15,7
Geekbench AI Score
3567
Single Precision Score
23418
Half Precision Score
27102
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 04 2025 01:47 AM |
| 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% |
1433
266.5 IPS |
|
|
Image Classification (HP)
|
100% |
10467
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
12571
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15832
256.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19328
313.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6743
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
104007
121.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105055
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
12985
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14896
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
31487
374.1 IPS |
|
|
Face Detection (Q)
|
100% |
39273
466.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6119
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75383
580.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
95594
747.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18633
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
182752
234.9 IPS |
|
|
Style Transfer (Q)
|
96% |
179888
232.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4076
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32786
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38450
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
2709
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (Q)
|
93% |
2592
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7494
129.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8356
144.4 IPS |
