iPhone 13
Geekbench AI Score
3146
Single Precision Score
19388
Half Precision Score
22249
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 04:45 AM |
| 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 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1331
247.6 IPS |
|
|
Image Classification (HP)
|
100% |
8939
1.66 KIPS |
|
|
Image Classification (Q)
|
96% |
10020
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12406
201.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15064
244.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5788
6.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
90628
105.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
93256
109.3 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
99% |
10817
860.5 IPS |
|
|
Object Detection (Q)
|
91% |
11467
916.3 IPS |
|
|
Face Detection (SP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
25828
306.9 IPS |
|
|
Face Detection (Q)
|
100% |
34713
412.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5114
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52523
404.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
75982
593.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16260
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
152574
196.1 IPS |
|
|
Style Transfer (Q)
|
96% |
154926
199.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3702
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26264
969.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27865
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2387
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (Q)
|
93% |
2280
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6117
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7095
122.6 IPS |
