iPhone 13
Geekbench AI Score
3158
Single Precision Score
20513
Half Precision Score
23146
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 10:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
8197
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
10279
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12296
199.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14318
232.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5894
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
94637
110.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
93396
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (HP)
|
99% |
11807
939.2 IPS |
|
|
Object Detection (Q)
|
91% |
11868
948.3 IPS |
|
|
Face Detection (SP)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
28487
338.5 IPS |
|
|
Face Detection (Q)
|
100% |
35253
418.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5077
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56666
436.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
75018
586.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16187
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
160613
206.5 IPS |
|
|
Style Transfer (Q)
|
96% |
173888
224.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3669
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27516
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30467
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2496
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2564
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3605
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6579
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7533
130.2 IPS |
