iPhone 13 Pro
Geekbench AI Score
3164
Single Precision Score
20075
Half Precision Score
22388
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 01:57 AM |
| Views | 1 |
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% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
8502
1.58 KIPS |
|
|
Image Classification (Q)
|
96% |
10416
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12842
208.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15083
244.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6100
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
80685
94.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
86309
101.2 IPS |
|
|
Object Detection (SP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (HP)
|
99% |
11441
910.1 IPS |
|
|
Object Detection (Q)
|
91% |
11959
955.6 IPS |
|
|
Face Detection (SP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
27965
332.3 IPS |
|
|
Face Detection (Q)
|
100% |
35640
423.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5199
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
54007
416.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
68353
534.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17422
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
152059
195.5 IPS |
|
|
Style Transfer (Q)
|
96% |
144369
186.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3640
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30379
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30745
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2551
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2465
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6161
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7320
126.5 IPS |
