iPad15,7
Geekbench AI Score
3469
Single Precision Score
22712
Half Precision Score
25481
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:41 PM |
| Views | 14 |
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% |
1363
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
9072
1.69 KIPS |
|
|
Image Classification (Q)
|
97% |
11776
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16272
263.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19381
314.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6567
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
95669
111.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102364
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
100% |
12634
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14631
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
30129
358.0 IPS |
|
|
Face Detection (Q)
|
100% |
37920
450.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5824
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
71624
551.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
90582
708.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18855
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
175637
225.8 IPS |
|
|
Style Transfer (Q)
|
96% |
172879
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3894
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33271
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35614
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
1944
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7149
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8213
141.9 IPS |
