iPad13,18
Geekbench AI Score
2722
Single Precision Score
11067
Half Precision Score
11415
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | doremon0710 |
| Upload Date | August 15 2024 07:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1191
221.5 IPS |
|
|
Image Classification (HP)
|
100% |
4806
893.8 IPS |
|
|
Image Classification (Q)
|
99% |
5370
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1051
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5561
90.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5610
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5441
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
60792
70.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
60471
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (HP)
|
99% |
5550
441.5 IPS |
|
|
Object Detection (Q)
|
91% |
5187
414.5 IPS |
|
|
Face Detection (SP)
|
100% |
2467
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
11432
135.8 IPS |
|
|
Face Detection (Q)
|
100% |
11271
133.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4995
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34291
264.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
41270
319.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14163
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
91690
117.9 IPS |
|
|
Style Transfer (Q)
|
100% |
102107
131.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3097
114.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18608
687.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
19278
714.2 IPS |
|
|
Text Classification (SP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2190
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1992
34.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1984
34.3 IPS |
