iPad15,7
Geekbench AI Score
3633
Single Precision Score
21940
Half Precision Score
25325
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 10:36 AM |
| Views | 6 |
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% |
1442
268.1 IPS |
|
|
Image Classification (HP)
|
100% |
8772
1.63 KIPS |
|
|
Image Classification (Q)
|
97% |
11771
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14272
231.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19064
309.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6910
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
95755
111.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102094
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
12447
987.3 IPS |
|
|
Object Detection (Q)
|
91% |
14077
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
30827
366.3 IPS |
|
|
Face Detection (Q)
|
100% |
39117
464.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6199
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71945
554.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
89824
702.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19292
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
169452
217.8 IPS |
|
|
Style Transfer (Q)
|
96% |
173444
223.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4094
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32839
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36261
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2825
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1921
2.56 KIPS |
|
|
Text Classification (Q)
|
93% |
1871
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3728
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7308
125.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8139
140.6 IPS |
