iPhone 13 Pro
Geekbench AI Score
3004
Single Precision Score
5629
Half Precision Score
4472
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1228
228.5 IPS |
|
|
Image Classification (HP)
|
100% |
2383
443.2 IPS |
|
|
Image Classification (Q)
|
96% |
1621
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2277
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5421
6.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
13289
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10477
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1258
99.8 IPS |
|
|
Object Detection (HP)
|
97% |
2612
207.9 IPS |
|
|
Object Detection (Q)
|
94% |
1868
148.9 IPS |
|
|
Face Detection (SP)
|
100% |
2500
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
5328
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
2976
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4897
37.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10289
79.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7093
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16122
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26186
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21157
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3564
131.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4942
182.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3604
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2598
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4332
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4283
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6534
112.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6430
111.1 IPS |
