iPhone 13 Pro
Geekbench AI Score
3127
Single Precision Score
19146
Half Precision Score
21709
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Buschiiiii |
| Upload Date | October 10 2025 09:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1250
232.4 IPS |
|
|
Image Classification (HP)
|
100% |
7399
1.38 KIPS |
|
|
Image Classification (Q)
|
96% |
10661
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12153
197.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14487
234.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6008
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
75662
88.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
81721
95.8 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.0 IPS |
|
|
Object Detection (HP)
|
99% |
10162
808.4 IPS |
|
|
Object Detection (Q)
|
91% |
11828
945.1 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
26099
310.1 IPS |
|
|
Face Detection (Q)
|
100% |
37080
440.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5194
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
56699
436.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
65184
509.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16966
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
154904
199.1 IPS |
|
|
Style Transfer (Q)
|
96% |
143748
185.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29148
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27733
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2579
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2341
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6068
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6907
119.4 IPS |
