iPhone 13 Pro
Geekbench AI Score
3104
Single Precision Score
19472
Half Precision Score
21740
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | September 10 2025 06:42 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1250
232.5 IPS |
|
|
Image Classification (HP)
|
100% |
8397
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
11166
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13159
213.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11286
182.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5372
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
77842
90.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
80384
94.2 IPS |
|
|
Object Detection (SP)
|
100% |
1306
103.6 IPS |
|
|
Object Detection (HP)
|
99% |
10188
810.4 IPS |
|
|
Object Detection (Q)
|
91% |
11995
958.5 IPS |
|
|
Face Detection (SP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
26385
313.5 IPS |
|
|
Face Detection (Q)
|
100% |
36482
433.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5153
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
56324
433.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
75047
586.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16560
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
140778
181.0 IPS |
|
|
Style Transfer (Q)
|
96% |
142385
183.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29192
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28837
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2606
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
2431
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2501
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6025
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6904
119.3 IPS |
