iPad15,7
Geekbench AI Score
3564
Single Precision Score
23179
Half Precision Score
26935
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Chris Sack |
| Upload Date | March 28 2025 05:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1444
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
9763
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
12378
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16258
263.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19491
316.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6831
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
97135
113.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105470
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1595
126.5 IPS |
|
|
Object Detection (HP)
|
100% |
13194
1.05 KIPS |
|
|
Object Detection (Q)
|
91% |
14990
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
31305
372.0 IPS |
|
|
Face Detection (Q)
|
100% |
39359
467.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5997
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75864
584.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
96646
755.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18789
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
181591
233.4 IPS |
|
|
Style Transfer (Q)
|
96% |
182892
236.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4092
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32982
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38227
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2686
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
2088
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2409
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3642
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7410
127.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8227
142.2 IPS |
