iPad15,7
Geekbench AI Score
3610
Single Precision Score
23764
Half Precision Score
28115
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 03:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1440
267.7 IPS |
|
|
Image Classification (HP)
|
100% |
10621
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
13467
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13907
225.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19569
317.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6924
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
101066
117.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105846
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (HP)
|
100% |
13421
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
15811
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
31850
378.5 IPS |
|
|
Face Detection (Q)
|
100% |
40180
477.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6248
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75474
581.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
96813
756.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19077
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
180740
232.3 IPS |
|
|
Style Transfer (Q)
|
96% |
184082
237.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4158
153.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32846
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41543
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
2719
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (Q)
|
93% |
2693
3.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3672
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7824
134.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8737
151.0 IPS |
