iPad15,7
Geekbench AI Score
3622
Single Precision Score
21826
Half Precision Score
24308
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 11:15 AM |
| Views | 11 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
9870
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
11324
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14268
231.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19100
309.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6894
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
95956
112.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102229
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
11313
897.4 IPS |
|
|
Object Detection (Q)
|
91% |
13264
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3354
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
30086
357.5 IPS |
|
|
Face Detection (Q)
|
100% |
39274
466.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6188
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71963
554.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
90002
703.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19175
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
172222
221.4 IPS |
|
|
Style Transfer (Q)
|
96% |
173702
224.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4104
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33051
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35528
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2776
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1842
2.46 KIPS |
|
|
Text Classification (Q)
|
93% |
1368
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7071
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8231
142.2 IPS |
