iPad15,7
Geekbench AI Score
3586
Single Precision Score
22178
Half Precision Score
25125
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 07 2025 06:06 PM |
| Views | 13 |
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% |
1456
270.8 IPS |
|
|
Image Classification (HP)
|
100% |
8700
1.62 KIPS |
|
|
Image Classification (Q)
|
97% |
11717
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16292
264.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19186
311.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6527
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
96862
113.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102275
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
100% |
12436
986.5 IPS |
|
|
Object Detection (Q)
|
91% |
14460
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
30693
364.7 IPS |
|
|
Face Detection (Q)
|
100% |
39233
466.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6161
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71295
549.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
89057
696.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18434
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
169613
218.0 IPS |
|
|
Style Transfer (Q)
|
96% |
172242
222.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4039
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32365
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35717
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2825
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1989
2.65 KIPS |
|
|
Text Classification (Q)
|
93% |
1737
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3755
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7058
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8079
139.6 IPS |
