iPad15,7
Geekbench AI Score
3625
Single Precision Score
21719
Half Precision Score
24140
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 02 2025 02:46 AM |
| Views | 8 |
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% |
1408
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
8734
1.62 KIPS |
|
|
Image Classification (Q)
|
97% |
10046
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13559
219.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19229
311.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7072
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
98493
114.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102291
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (HP)
|
100% |
12400
983.6 IPS |
|
|
Object Detection (Q)
|
91% |
14786
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3294
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
29878
355.0 IPS |
|
|
Face Detection (Q)
|
100% |
38042
452.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6161
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
72776
560.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
88550
692.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19289
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
171721
220.7 IPS |
|
|
Style Transfer (Q)
|
96% |
173917
224.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4096
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31877
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34432
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1928
2.57 KIPS |
|
|
Text Classification (Q)
|
93% |
1397
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3721
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7040
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8162
141.1 IPS |
