iPhone 13 Pro
Geekbench AI Score
3099
Single Precision Score
20327
Half Precision Score
21909
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 01:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1268
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
9544
1.77 KIPS |
|
|
Image Classification (Q)
|
96% |
11005
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13357
216.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13273
215.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5667
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
80565
94.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
81478
95.5 IPS |
|
|
Object Detection (SP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (HP)
|
99% |
10748
855.0 IPS |
|
|
Object Detection (Q)
|
91% |
12030
961.2 IPS |
|
|
Face Detection (SP)
|
100% |
2622
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
28758
341.7 IPS |
|
|
Face Detection (Q)
|
100% |
34762
413.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5100
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
58710
452.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
64059
500.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16403
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
154371
198.4 IPS |
|
|
Style Transfer (Q)
|
96% |
147897
190.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3588
132.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29215
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29677
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2567
3.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3397
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6263
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7096
122.6 IPS |
