iPhone 13 Pro
Geekbench AI Score
3780
Single Precision Score
4275
Half Precision Score
3781
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Fritzt |
| Upload Date | March 02 2025 07:11 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1572
292.4 IPS |
|
|
Image Classification (HP)
|
100% |
1513
281.3 IPS |
|
|
Image Classification (Q)
|
97% |
1499
279.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2506
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11342
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12249
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11374
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (HP)
|
100% |
2006
159.1 IPS |
|
|
Object Detection (Q)
|
91% |
1654
132.2 IPS |
|
|
Face Detection (SP)
|
100% |
4777
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
6232
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
4050
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8499
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9031
69.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7551
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18897
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23449
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21740
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4920
181.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4975
183.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3938
145.4 IPS |
|
|
Text Classification (SP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4174
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4096
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
789
13.6 IPS |
