iPad15,7
Geekbench AI Score
3451
Single Precision Score
22152
Half Precision Score
25058
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:21 AM |
| Views | 4 |
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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
8969
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
10313
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16255
263.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19358
313.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6385
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
97361
113.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102013
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
100% |
12415
984.7 IPS |
|
|
Object Detection (Q)
|
91% |
13981
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3292
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
30948
367.7 IPS |
|
|
Face Detection (Q)
|
100% |
39140
465.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5946
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71341
549.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
89308
698.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18749
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
169879
218.4 IPS |
|
|
Style Transfer (Q)
|
96% |
170521
220.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3835
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32523
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36217
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2757
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1854
2.48 KIPS |
|
|
Text Classification (Q)
|
93% |
1936
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3410
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7140
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8204
141.8 IPS |
