iPhone 13 Pro
Geekbench AI Score
3230
Single Precision Score
5704
Half Precision Score
4633
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 30 2025 12:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1313
244.2 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.1 IPS |
|
|
Image Classification (Q)
|
96% |
1620
302.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2432
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6309
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
14032
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11836
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
2708
215.6 IPS |
|
|
Object Detection (Q)
|
94% |
1935
154.2 IPS |
|
|
Face Detection (SP)
|
100% |
2690
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5547
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3142
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5238
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10516
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7324
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17283
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27853
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22565
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3808
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4749
175.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3624
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4229
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4218
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3620
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6368
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6369
110.1 IPS |
