iPhone 13 Pro
Geekbench AI Score
3134
Single Precision Score
19857
Half Precision Score
22811
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | November 19 2025 09:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
7618
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
10670
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12202
197.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14988
243.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5971
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
84194
98.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
94016
110.2 IPS |
|
|
Object Detection (SP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (HP)
|
99% |
10536
838.1 IPS |
|
|
Object Detection (Q)
|
91% |
12237
977.8 IPS |
|
|
Face Detection (SP)
|
100% |
2594
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
29432
349.7 IPS |
|
|
Face Detection (Q)
|
100% |
37738
448.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5115
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
58587
451.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
70655
552.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16771
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
156080
200.6 IPS |
|
|
Style Transfer (Q)
|
96% |
156273
201.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3666
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29816
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28740
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2560
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2497
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6061
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6935
119.8 IPS |
