iPhone 13 Pro
Geekbench AI Score
3293
Single Precision Score
16504
Half Precision Score
18662
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ricnecro |
| Upload Date | October 06 2024 05:28 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1361
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
8501
1.58 KIPS |
|
|
Image Classification (Q)
|
96% |
10187
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6687
108.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8140
132.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6545
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
85181
99.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
93470
109.6 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.6 IPS |
|
|
Object Detection (HP)
|
99% |
10681
849.7 IPS |
|
|
Object Detection (Q)
|
91% |
11672
932.6 IPS |
|
|
Face Detection (SP)
|
100% |
2729
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
27084
321.8 IPS |
|
|
Face Detection (Q)
|
100% |
34244
406.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5554
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51649
397.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
74892
585.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17822
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
159515
205.1 IPS |
|
|
Style Transfer (Q)
|
96% |
152505
196.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3926
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26686
985.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27988
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2341
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2211
38.2 IPS |
