iPhone 13
Geekbench AI Score
3227
Single Precision Score
16388
Half Precision Score
18112
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | jayt |
| Upload Date | September 29 2024 04:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1347
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
7675
1.43 KIPS |
|
|
Image Classification (Q)
|
96% |
10415
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5850
94.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5702
92.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6098
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
87988
102.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
93415
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.7 IPS |
|
|
Object Detection (HP)
|
99% |
10649
847.1 IPS |
|
|
Object Detection (Q)
|
91% |
11566
924.2 IPS |
|
|
Face Detection (SP)
|
100% |
2792
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
26299
312.5 IPS |
|
|
Face Detection (Q)
|
100% |
33486
397.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5368
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52703
406.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
71559
559.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16794
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
160413
206.2 IPS |
|
|
Style Transfer (Q)
|
96% |
160490
207.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3797
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29225
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30593
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2361
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3538
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2127
36.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2132
36.8 IPS |
