iPhone 13 Pro
Geekbench AI Score
3207
Single Precision Score
20283
Half Precision Score
23175
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Rikyz25 |
| Upload Date | August 23 2025 10:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
9247
1.72 KIPS |
|
|
Image Classification (Q)
|
96% |
10302
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11980
194.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14179
229.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6030
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
89003
103.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
93679
109.8 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
99% |
10997
874.8 IPS |
|
|
Object Detection (Q)
|
91% |
12089
965.9 IPS |
|
|
Face Detection (SP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
28360
337.0 IPS |
|
|
Face Detection (Q)
|
100% |
37321
443.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5286
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
54612
420.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
71961
562.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16124
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
161690
207.9 IPS |
|
|
Style Transfer (Q)
|
96% |
169039
218.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3913
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27125
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31104
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2481
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2609
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6450
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7334
126.7 IPS |
