iPhone 13 Pro
Geekbench AI Score
3225
Single Precision Score
16466
Half Precision Score
18030
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
7752
1.44 KIPS |
|
|
Image Classification (Q)
|
96% |
9334
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7491
121.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7693
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6109
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
92811
108.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
92789
108.8 IPS |
|
|
Object Detection (SP)
|
100% |
1420
112.6 IPS |
|
|
Object Detection (HP)
|
99% |
10083
802.1 IPS |
|
|
Object Detection (Q)
|
91% |
11566
924.2 IPS |
|
|
Face Detection (SP)
|
100% |
2665
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
27839
330.8 IPS |
|
|
Face Detection (Q)
|
100% |
34885
414.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5434
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
53343
411.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
71087
555.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17462
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
152087
195.5 IPS |
|
|
Style Transfer (Q)
|
96% |
152774
197.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3878
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26838
991.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27288
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2042
2.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2086
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3419
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2179
37.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2185
37.8 IPS |
