iPhone 13 Pro
Geekbench AI Score
3297
Single Precision Score
5689
Half Precision Score
4609
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Petenka315 |
| Upload Date | September 19 2024 03:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
2334
434.0 IPS |
|
|
Image Classification (Q)
|
96% |
1624
303.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2487
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6691
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
14289
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12202
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
97% |
2730
217.3 IPS |
|
|
Object Detection (Q)
|
94% |
1925
153.5 IPS |
|
|
Face Detection (SP)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5694
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3235
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5460
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11107
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7606
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17703
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26841
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22380
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3938
145.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4690
173.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3491
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4183
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4140
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5837
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5737
99.1 IPS |
