iPad15,7
Geekbench AI Score
3429
Single Precision Score
22713
Half Precision Score
25425
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 12 2025 03:06 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
9217
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
10726
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1397
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16241
263.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19169
310.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6335
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
95981
112.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
101916
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.3 IPS |
|
|
Object Detection (HP)
|
100% |
12162
964.7 IPS |
|
|
Object Detection (Q)
|
91% |
13862
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3202
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
30725
365.1 IPS |
|
|
Face Detection (Q)
|
100% |
39928
474.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5880
45.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
72036
555.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
89608
700.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18538
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
170693
219.4 IPS |
|
|
Style Transfer (Q)
|
96% |
170847
220.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3868
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33590
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37861
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2749
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2056
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7074
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8170
141.2 IPS |
