iPhone 13 Pro
Geekbench AI Score
2207
Single Precision Score
11472
Half Precision Score
6505
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 08:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1192
221.7 IPS |
|
|
Image Classification (HP)
|
100% |
4489
834.8 IPS |
|
|
Image Classification (Q)
|
94% |
5309
992.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3818
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6209
100.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5866
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
76186
88.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
73653
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
1244
98.7 IPS |
|
|
Object Detection (HP)
|
99% |
6358
505.8 IPS |
|
|
Object Detection (Q)
|
93% |
6142
490.1 IPS |
|
|
Face Detection (SP)
|
100% |
1932
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
12764
151.7 IPS |
|
|
Face Detection (Q)
|
100% |
551
6.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
3752
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35478
273.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
43527
340.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10873
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
102523
131.8 IPS |
|
|
Style Transfer (Q)
|
25% |
3556
99.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3022
111.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13110
484.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13965
515.6 IPS |
|
|
Text Classification (SP)
|
100% |
1283
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
3584
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3571
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2181
37.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2140
37.0 IPS |
