iPhone 13 Pro
Geekbench AI Score
3229
Single Precision Score
19423
Half Precision Score
22003
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | February 01 2025 07:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1342
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
8049
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
9647
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12003
194.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13605
220.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6264
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
88655
103.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
93081
109.1 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.2 IPS |
|
|
Object Detection (HP)
|
99% |
10382
825.9 IPS |
|
|
Object Detection (Q)
|
91% |
11555
923.3 IPS |
|
|
Face Detection (SP)
|
100% |
2652
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
29037
345.0 IPS |
|
|
Face Detection (Q)
|
100% |
35269
419.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5372
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
53247
410.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
75002
586.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17397
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
150690
193.7 IPS |
|
|
Style Transfer (Q)
|
96% |
151638
195.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3874
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26273
970.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28448
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2379
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3409
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6061
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6942
120.0 IPS |
