iPhone 13
Geekbench AI Score
2530
Single Precision Score
2871
Half Precision Score
2192
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Alvy_Aryandi |
| Upload Date | August 17 2024 12:29 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
631
117.4 IPS |
|
|
Image Classification (HP)
|
100% |
865
160.9 IPS |
|
|
Image Classification (Q)
|
99% |
692
129.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2040
33.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2027
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9277
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10028
11.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
9050
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
850
67.4 IPS |
|
|
Object Detection (HP)
|
100% |
809
64.1 IPS |
|
|
Object Detection (Q)
|
91% |
861
68.8 IPS |
|
|
Face Detection (SP)
|
100% |
4405
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
4967
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
3273
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6586
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6245
48.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
1074
8.30 IPS |
|
|
Style Transfer (SP)
|
100% |
16619
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19234
24.7 IPS |
|
|
Style Transfer (Q)
|
100% |
19142
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2872
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2799
103.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2335
86.5 IPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4158
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4148
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
324
5.59 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.59 IPS |
|
|
Machine Translation (Q)
|
98% |
360
6.22 IPS |
