iPad15,7
Geekbench AI Score
3592
Single Precision Score
22975
Half Precision Score
26226
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 02:31 AM |
| Views | 4 |
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% |
1454
270.3 IPS |
|
|
Image Classification (HP)
|
100% |
9130
1.70 KIPS |
|
|
Image Classification (Q)
|
97% |
11704
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16229
263.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19119
309.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6464
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
99389
116.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102364
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
100% |
12478
989.7 IPS |
|
|
Object Detection (Q)
|
91% |
14420
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3318
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
30159
358.4 IPS |
|
|
Face Detection (Q)
|
100% |
39127
464.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6162
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
72955
562.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
89135
696.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18327
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
175738
225.9 IPS |
|
|
Style Transfer (Q)
|
96% |
174316
224.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4054
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33303
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36513
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2843
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2584
3.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3754
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7094
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8127
140.4 IPS |
