iPhone 13 Pro
Geekbench AI Score
3219
Single Precision Score
19069
Half Precision Score
22402
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | oridwanbello |
| Upload Date | March 12 2025 10:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
8140
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
9735
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11796
191.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14631
237.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6088
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
87689
102.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
94578
110.9 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.9 IPS |
|
|
Object Detection (HP)
|
99% |
10228
813.6 IPS |
|
|
Object Detection (Q)
|
91% |
11673
932.7 IPS |
|
|
Face Detection (SP)
|
100% |
2683
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
26527
315.2 IPS |
|
|
Face Detection (Q)
|
100% |
37488
445.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5040
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
56149
432.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
69670
544.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17595
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
155455
199.8 IPS |
|
|
Style Transfer (Q)
|
96% |
156790
202.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27284
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29098
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1898
2.53 KIPS |
|
|
Text Classification (Q)
|
93% |
2481
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6157
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6849
118.4 IPS |
