iPhone 13 Pro
Geekbench AI Score
3963
Single Precision Score
4456
Half Precision Score
4221
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 07 2025 08:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1714
318.8 IPS |
|
|
Image Classification (HP)
|
100% |
1586
294.9 IPS |
|
|
Image Classification (Q)
|
96% |
1644
306.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2771
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2847
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2737
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11270
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12229
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11954
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1968
156.1 IPS |
|
|
Object Detection (HP)
|
100% |
1970
156.3 IPS |
|
|
Object Detection (Q)
|
92% |
1837
146.6 IPS |
|
|
Face Detection (SP)
|
100% |
4997
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
6165
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
4829
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8491
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9110
70.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8252
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18845
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23341
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22663
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4849
179.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4964
183.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4366
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4208
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4275
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
978
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1080
18.7 IPS |
