iPad13,18
Geekbench AI Score
2720
Single Precision Score
4651
Half Precision Score
3845
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 10:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1246
231.7 IPS |
|
|
Image Classification (HP)
|
100% |
1941
360.9 IPS |
|
|
Image Classification (Q)
|
96% |
1371
256.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2146
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5363
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
11075
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9840
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
97% |
2170
172.7 IPS |
|
|
Object Detection (Q)
|
94% |
1579
125.9 IPS |
|
|
Face Detection (SP)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
4564
54.2 IPS |
|
|
Face Detection (Q)
|
100% |
2689
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4880
37.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9087
70.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6437
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13712
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23362
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19853
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2934
108.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4126
152.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3154
116.5 IPS |
|
|
Text Classification (SP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3648
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3577
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4014
69.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3990
69.0 IPS |
