iPhone 13 Pro
Geekbench AI Score
3168
Single Precision Score
19360
Half Precision Score
21729
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 03:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1256
233.7 IPS |
|
|
Image Classification (HP)
|
100% |
7972
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
9852
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12055
195.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15290
247.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6196
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
77713
90.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
82856
97.1 IPS |
|
|
Object Detection (SP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (HP)
|
99% |
10675
849.2 IPS |
|
|
Object Detection (Q)
|
91% |
12011
959.7 IPS |
|
|
Face Detection (SP)
|
100% |
2643
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
24870
295.5 IPS |
|
|
Face Detection (Q)
|
100% |
33067
392.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5170
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55683
429.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
66265
517.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17506
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
152156
195.6 IPS |
|
|
Style Transfer (Q)
|
96% |
144185
186.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3648
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29152
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29243
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2552
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2460
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2385
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6143
105.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7106
122.8 IPS |
