iPhone 13 Pro
Geekbench AI Score
3006
Single Precision Score
3240
Half Precision Score
3035
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Petenka315 |
| Upload Date | August 17 2024 02:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1261
234.5 IPS |
|
|
Image Classification (HP)
|
100% |
1202
223.5 IPS |
|
|
Image Classification (Q)
|
99% |
1548
288.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2246
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
2446
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10614
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11349
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10912
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1942
154.0 IPS |
|
|
Object Detection (HP)
|
100% |
2075
164.6 IPS |
|
|
Object Detection (Q)
|
92% |
1593
127.2 IPS |
|
|
Face Detection (SP)
|
100% |
4698
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
6046
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3944
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8419
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9083
70.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
9128
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17038
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20696
26.6 IPS |
|
|
Style Transfer (Q)
|
100% |
22737
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4733
174.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4822
178.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3913
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
379
505.5 IPS |
|
|
Text Classification (HP)
|
100% |
375
501.0 IPS |
|
|
Text Classification (Q)
|
93% |
245
328.3 IPS |
|
|
Machine Translation (SP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1287
22.2 IPS |
