iPhone 13
Geekbench AI Score
3222
Single Precision Score
20451
Half Precision Score
22977
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | kent_tester |
| Upload Date | August 13 2025 07:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
8678
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
9489
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13519
219.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15755
255.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6170
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
90924
106.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
95038
111.4 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
99% |
10215
812.6 IPS |
|
|
Object Detection (Q)
|
91% |
11361
907.8 IPS |
|
|
Face Detection (SP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
28738
341.5 IPS |
|
|
Face Detection (Q)
|
100% |
36116
429.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5223
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
59129
455.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
75386
589.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16953
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
151974
195.4 IPS |
|
|
Style Transfer (Q)
|
96% |
160283
206.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3767
139.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27225
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30938
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
2490
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6664
114.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7560
130.7 IPS |
