iPad15,8
Geekbench AI Score
3615
Single Precision Score
6238
Half Precision Score
5009
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | LESSERAFIM |
| Upload Date | September 19 2025 01:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad15,8 |
| Model ID | iPad15,8 |
| Motherboard | J482AP |
| 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% |
1436
267.1 IPS |
|
|
Image Classification (HP)
|
100% |
2563
476.7 IPS |
|
|
Image Classification (Q)
|
96% |
1760
328.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2686
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6950
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
15214
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13010
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2959
235.5 IPS |
|
|
Object Detection (Q)
|
94% |
2090
166.6 IPS |
|
|
Face Detection (SP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6159
73.2 IPS |
|
|
Face Detection (Q)
|
100% |
3544
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6210
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12392
95.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8398
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19278
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29119
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24186
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5182
191.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3744
138.3 IPS |
|
|
Text Classification (SP)
|
100% |
2688
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4836
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4809
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6266
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5979
103.3 IPS |
