iPhone 13
Geekbench AI Score
3251
Single Precision Score
20394
Half Precision Score
23082
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 09 2025 01:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
8972
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
10709
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12634
204.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15628
253.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6267
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
88597
103.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
94231
110.4 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
99% |
10594
842.7 IPS |
|
|
Object Detection (Q)
|
91% |
12151
970.9 IPS |
|
|
Face Detection (SP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
28588
339.7 IPS |
|
|
Face Detection (Q)
|
100% |
35577
422.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5278
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
55746
429.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
80572
629.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17189
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
169707
218.2 IPS |
|
|
Style Transfer (Q)
|
96% |
158637
204.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3800
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28355
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28155
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2386
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2472
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6293
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7079
122.3 IPS |
