iPhone 13 Pro
Geekbench AI Score
3274
Single Precision Score
19546
Half Precision Score
21980
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | HNSDMPF |
| Upload Date | June 17 2025 01:45 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1318
245.1 IPS |
|
|
Image Classification (HP)
|
100% |
7662
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
10184
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13313
215.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15089
244.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6309
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
79053
92.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
83684
98.1 IPS |
|
|
Object Detection (SP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (HP)
|
99% |
10787
858.1 IPS |
|
|
Object Detection (Q)
|
91% |
11845
946.5 IPS |
|
|
Face Detection (SP)
|
100% |
2726
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
26482
314.7 IPS |
|
|
Face Detection (Q)
|
100% |
35168
417.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5388
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55424
427.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
69310
541.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17342
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
159868
205.5 IPS |
|
|
Style Transfer (Q)
|
96% |
156859
202.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3834
141.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27661
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27238
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2487
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2377
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3686
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6112
105.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6982
120.7 IPS |
