iPhone 13 Pro
Geekbench AI Score
3780
Single Precision Score
4253
Half Precision Score
3182
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Jfreshh330 |
| Upload Date | August 29 2024 02:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1671
310.7 IPS |
|
|
Image Classification (HP)
|
100% |
1622
301.7 IPS |
|
|
Image Classification (Q)
|
99% |
1627
303.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2263
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2501
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11336
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12205
14.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
11010
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (HP)
|
100% |
2009
159.3 IPS |
|
|
Object Detection (Q)
|
91% |
1557
124.4 IPS |
|
|
Face Detection (SP)
|
100% |
4695
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
5821
69.2 IPS |
|
|
Face Detection (Q)
|
100% |
3958
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8493
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9025
69.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
1335
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18673
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23197
29.8 IPS |
|
|
Style Transfer (Q)
|
100% |
23144
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4870
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4929
182.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3758
139.2 IPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4060
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4158
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
800
13.8 IPS |
