iPhone 13 Pro
Geekbench AI Score
3295
Single Precision Score
20314
Half Precision Score
23650
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 01 2025 05:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
9283
1.73 KIPS |
|
|
Image Classification (Q)
|
96% |
10759
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11954
193.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15276
247.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6661
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
89225
104.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
96207
112.8 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
99% |
11201
891.1 IPS |
|
|
Object Detection (Q)
|
91% |
11965
956.1 IPS |
|
|
Face Detection (SP)
|
100% |
2697
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
29059
345.3 IPS |
|
|
Face Detection (Q)
|
100% |
37115
441.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5361
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
58422
450.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
77303
604.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17939
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
152458
196.0 IPS |
|
|
Style Transfer (Q)
|
96% |
171253
221.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3871
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26190
967.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32278
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2469
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2501
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2539
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3691
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6365
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7187
124.2 IPS |
