iPad15,7
Geekbench AI Score
3101
Single Precision Score
3065
Half Precision Score
3433
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 19 2025 05:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1017
189.2 IPS |
|
|
Image Classification (HP)
|
100% |
588
109.4 IPS |
|
|
Image Classification (Q)
|
96% |
566
105.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2216
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9646
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10292
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9997
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1139
90.3 IPS |
|
|
Object Detection (HP)
|
100% |
840
66.6 IPS |
|
|
Object Detection (Q)
|
92% |
1207
96.3 IPS |
|
|
Face Detection (SP)
|
100% |
4088
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
4376
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
3890
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3560
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3825
29.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6835
53.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17514
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20582
26.5 IPS |
|
|
Style Transfer (Q)
|
96% |
19032
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2775
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2789
103.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2898
107.0 IPS |
|
|
Text Classification (SP)
|
100% |
2630
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4645
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4576
6.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1711
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2244
38.8 IPS |
