iPad15,7
Geekbench AI Score
3617
Single Precision Score
22627
Half Precision Score
25256
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 13 2025 10:21 AM |
| Views | 1 |
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% |
1447
269.2 IPS |
|
|
Image Classification (HP)
|
100% |
9251
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
11766
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16162
262.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19132
310.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6808
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
95967
112.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102395
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
12386
982.5 IPS |
|
|
Object Detection (Q)
|
91% |
14237
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
30702
364.8 IPS |
|
|
Face Detection (Q)
|
100% |
39279
466.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6060
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71307
549.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
89227
697.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19063
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
170140
218.7 IPS |
|
|
Style Transfer (Q)
|
96% |
172177
222.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4057
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32338
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35015
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2819
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
1849
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7276
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8239
142.4 IPS |
