iPad15,7
Geekbench AI Score
3629
Single Precision Score
22103
Half Precision Score
24511
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 05:53 PM |
| Views | 10 |
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 | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1448
269.3 IPS |
|
|
Image Classification (HP)
|
100% |
9474
1.76 KIPS |
|
|
Image Classification (Q)
|
97% |
11683
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14402
233.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19165
310.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6879
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
95433
111.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102484
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1609
127.6 IPS |
|
|
Object Detection (HP)
|
100% |
12507
992.0 IPS |
|
|
Object Detection (Q)
|
91% |
13984
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
30377
360.9 IPS |
|
|
Face Detection (Q)
|
100% |
37499
445.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6201
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72419
557.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
89272
698.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19113
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
173345
222.8 IPS |
|
|
Style Transfer (Q)
|
96% |
172083
222.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4087
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33087
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35297
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2776
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1888
2.52 KIPS |
|
|
Text Classification (Q)
|
93% |
1482
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3705
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7174
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8097
139.9 IPS |
