iPad15,7
Geekbench AI Score
3531
Single Precision Score
22603
Half Precision Score
25794
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 02:16 AM |
| 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 | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1452
270.0 IPS |
|
|
Image Classification (HP)
|
100% |
8958
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
10842
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16279
263.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19017
308.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6321
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
98211
114.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102222
119.8 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
100% |
12224
969.6 IPS |
|
|
Object Detection (Q)
|
91% |
13875
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
30824
366.3 IPS |
|
|
Face Detection (Q)
|
100% |
39543
469.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6094
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
70708
544.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
89378
698.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17837
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
169266
217.6 IPS |
|
|
Style Transfer (Q)
|
96% |
171131
220.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4021
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32563
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36347
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2501
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7006
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8111
140.2 IPS |
