iPad13,18
Geekbench AI Score
2676
Single Precision Score
12973
Half Precision Score
12682
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | zlocorp |
| Upload Date | April 13 2025 04:36 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1220
226.9 IPS |
|
|
Image Classification (HP)
|
100% |
4860
903.8 IPS |
|
|
Image Classification (Q)
|
96% |
4681
874.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8285
134.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8281
134.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5144
6.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
61378
71.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
61297
71.8 IPS |
|
|
Object Detection (SP)
|
100% |
1290
102.3 IPS |
|
|
Object Detection (HP)
|
99% |
5872
467.1 IPS |
|
|
Object Detection (Q)
|
91% |
5074
405.4 IPS |
|
|
Face Detection (SP)
|
100% |
2450
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
13781
163.7 IPS |
|
|
Face Detection (Q)
|
100% |
11619
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4867
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
38269
294.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
36871
288.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13469
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
98558
126.7 IPS |
|
|
Style Transfer (Q)
|
96% |
92026
118.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2914
107.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17305
639.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17806
657.5 IPS |
|
|
Text Classification (SP)
|
100% |
2088
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2358
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4541
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5396
93.2 IPS |
