iPhone 13 Pro
Geekbench AI Score
3260
Single Precision Score
19229
Half Precision Score
21415
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 02:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
7893
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
8193
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11791
191.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12915
209.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6428
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
85282
99.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
93722
109.8 IPS |
|
|
Object Detection (SP)
|
100% |
1449
114.9 IPS |
|
|
Object Detection (HP)
|
99% |
10952
871.2 IPS |
|
|
Object Detection (Q)
|
91% |
11466
916.2 IPS |
|
|
Face Detection (SP)
|
100% |
2659
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
26068
309.7 IPS |
|
|
Face Detection (Q)
|
100% |
35903
426.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5433
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
52474
404.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
69866
546.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17609
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
156305
200.9 IPS |
|
|
Style Transfer (Q)
|
96% |
150659
194.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3906
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26370
973.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29269
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2353
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6065
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6856
118.5 IPS |
