iPad15,7
Geekbench AI Score
3592
Single Precision Score
22901
Half Precision Score
26929
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | UvarovAndrey |
| Upload Date | April 29 2025 07:37 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1446
269.0 IPS |
|
|
Image Classification (HP)
|
100% |
10111
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
12974
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14112
228.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19547
316.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7012
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
97848
114.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104611
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1612
127.9 IPS |
|
|
Object Detection (HP)
|
100% |
12968
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
15124
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
30779
365.7 IPS |
|
|
Face Detection (Q)
|
100% |
38347
455.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6042
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75380
580.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
95684
748.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19204
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
182493
234.6 IPS |
|
|
Style Transfer (Q)
|
96% |
180219
232.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4122
152.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33116
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37147
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (Q)
|
93% |
2443
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7460
128.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8330
144.0 IPS |
