iPhone 13
Geekbench AI Score
2603
Single Precision Score
17183
Half Precision Score
20857
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 08 2024 08:23 AM |
| Views | 2 |
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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
7992
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
8810
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12243
198.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14870
241.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4691
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
81403
95.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
93385
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
1176
93.3 IPS |
|
|
Object Detection (HP)
|
99% |
10497
835.0 IPS |
|
|
Object Detection (Q)
|
91% |
11957
955.4 IPS |
|
|
Face Detection (SP)
|
100% |
2312
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
25989
308.8 IPS |
|
|
Face Detection (Q)
|
100% |
33226
394.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3794
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51532
397.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
71124
555.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11373
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
129393
166.3 IPS |
|
|
Style Transfer (Q)
|
96% |
150825
194.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2716
100.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23741
876.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28702
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1626
2.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2223
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2591
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4012
69.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4684
81.0 IPS |
