iPhone 13
Geekbench AI Score
3141
Single Precision Score
16754
Half Precision Score
18457
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Ramonndafonseca |
| Upload Date | October 27 2024 03:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
9154
1.70 KIPS |
|
|
Image Classification (Q)
|
96% |
9280
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7058
114.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8023
130.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5179
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
87414
102.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
93778
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
1365
108.3 IPS |
|
|
Object Detection (HP)
|
99% |
10315
820.5 IPS |
|
|
Object Detection (Q)
|
91% |
11730
937.3 IPS |
|
|
Face Detection (SP)
|
100% |
2734
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
28217
335.3 IPS |
|
|
Face Detection (Q)
|
100% |
35696
424.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5322
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
52484
404.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
74127
579.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16452
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
158361
203.6 IPS |
|
|
Style Transfer (Q)
|
96% |
154708
199.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3711
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26541
980.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29788
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2196
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3417
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2092
36.2 IPS |
