iPhone 13 Pro
Geekbench AI Score
3240
Single Precision Score
20096
Half Precision Score
23367
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | April 07 2025 08:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1354
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
7979
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
10860
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12973
210.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14528
235.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6200
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
93728
109.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
96911
113.6 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.5 IPS |
|
|
Object Detection (HP)
|
99% |
10549
839.2 IPS |
|
|
Object Detection (Q)
|
91% |
12162
971.8 IPS |
|
|
Face Detection (SP)
|
100% |
2676
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
28404
337.5 IPS |
|
|
Face Detection (Q)
|
100% |
37107
440.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5303
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
54944
423.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
73132
571.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16816
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
159146
204.6 IPS |
|
|
Style Transfer (Q)
|
96% |
164200
211.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3909
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29182
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33540
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2439
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2482
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3601
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6140
105.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7038
121.6 IPS |
