iPhone 13
Geekbench AI Score
3197
Single Precision Score
20091
Half Precision Score
21760
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | November 01 2025 07:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
8251
1.53 KIPS |
|
|
Image Classification (Q)
|
96% |
10185
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13363
216.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13669
221.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6193
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
80754
94.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
85956
100.7 IPS |
|
|
Object Detection (SP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (HP)
|
99% |
11101
883.1 IPS |
|
|
Object Detection (Q)
|
91% |
11379
909.2 IPS |
|
|
Face Detection (SP)
|
100% |
2759
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
28370
337.1 IPS |
|
|
Face Detection (Q)
|
100% |
36099
428.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5271
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
56123
432.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
69123
540.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17404
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
150752
193.8 IPS |
|
|
Style Transfer (Q)
|
96% |
144787
186.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3598
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29581
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28040
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2564
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2382
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6375
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7246
125.2 IPS |
