iPhone 13 Pro
Geekbench AI Score
3286
Single Precision Score
19323
Half Precision Score
22283
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 05 2026 06:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.7 |
| 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% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
7934
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
9296
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13021
211.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15085
244.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6534
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
93349
108.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
94123
110.3 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.8 IPS |
|
|
Object Detection (HP)
|
99% |
10401
827.4 IPS |
|
|
Object Detection (Q)
|
91% |
12235
977.6 IPS |
|
|
Face Detection (SP)
|
100% |
2671
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
29382
349.1 IPS |
|
|
Face Detection (Q)
|
100% |
36969
439.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5367
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
54582
420.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
75266
588.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17681
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
151092
194.2 IPS |
|
|
Style Transfer (Q)
|
96% |
153308
197.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3914
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29804
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28045
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2491
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1652
2.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2232
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6066
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7002
121.0 IPS |
