iPad16,1
Geekbench AI Score
3882
Single Precision Score
4310
Half Precision Score
3952
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 05 2024 06:27 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1174
218.3 IPS |
|
|
Image Classification (HP)
|
100% |
1282
238.5 IPS |
|
|
Image Classification (Q)
|
97% |
854
159.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3151
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3517
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3445
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13084
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13516
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12896
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
100% |
1468
116.4 IPS |
|
|
Object Detection (Q)
|
91% |
1423
113.7 IPS |
|
|
Face Detection (SP)
|
100% |
5503
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
7528
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
5168
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10540
81.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10935
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9476
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27548
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30745
39.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29520
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4646
171.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3884
143.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3549
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5562
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5557
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
428
7.38 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (Q)
|
98% |
604
10.4 IPS |
