iPad15,7
Geekbench AI Score
3634
Single Precision Score
22334
Half Precision Score
25372
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 01:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1446
268.9 IPS |
|
|
Image Classification (HP)
|
100% |
9046
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
11507
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16386
265.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19194
311.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6911
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
98238
114.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102383
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
12479
989.9 IPS |
|
|
Object Detection (Q)
|
91% |
14716
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
30475
362.1 IPS |
|
|
Face Detection (Q)
|
100% |
38405
456.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6217
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
72319
557.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
89742
701.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19168
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
175681
225.8 IPS |
|
|
Style Transfer (Q)
|
96% |
172581
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33233
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35974
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1867
2.49 KIPS |
|
|
Text Classification (Q)
|
93% |
1895
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3745
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7076
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8194
141.6 IPS |
