iPhone 13
Geekbench AI Score
3332
Single Precision Score
19189
Half Precision Score
21322
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 02:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1366
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
8491
1.58 KIPS |
|
|
Image Classification (Q)
|
96% |
9832
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11876
192.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13178
213.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
85697
100.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
93437
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
99% |
10937
870.0 IPS |
|
|
Object Detection (Q)
|
91% |
12335
985.6 IPS |
|
|
Face Detection (SP)
|
100% |
2866
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
28398
337.4 IPS |
|
|
Face Detection (Q)
|
100% |
33143
393.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5587
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
54791
422.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
79091
618.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17607
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
153468
197.3 IPS |
|
|
Style Transfer (Q)
|
96% |
152173
196.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3936
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26658
984.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27626
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2306
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4670
80.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5120
88.5 IPS |
