iPhone 13 Pro
Geekbench AI Score
3168
Single Precision Score
19257
Half Precision Score
21856
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 09:34 AM |
| Views | 10 |
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% |
1234
229.4 IPS |
|
|
Image Classification (HP)
|
100% |
7873
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
10676
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13255
214.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15127
245.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6104
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
79773
93.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
81488
95.5 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (HP)
|
99% |
10557
839.8 IPS |
|
|
Object Detection (Q)
|
91% |
11685
933.7 IPS |
|
|
Face Detection (SP)
|
100% |
2620
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
24823
295.0 IPS |
|
|
Face Detection (Q)
|
100% |
33711
400.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5222
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
54828
422.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
74443
581.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17232
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
140860
181.1 IPS |
|
|
Style Transfer (Q)
|
96% |
141416
182.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3751
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29022
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28065
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2582
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2378
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6031
103.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6832
118.1 IPS |
