iPhone 13 Pro
Geekbench AI Score
3135
Single Precision Score
19279
Half Precision Score
21891
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 04 2025 10:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1261
234.5 IPS |
|
|
Image Classification (HP)
|
100% |
8090
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
10428
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12990
210.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15059
244.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5976
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
79711
93.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
94165
110.4 IPS |
|
|
Object Detection (SP)
|
100% |
1343
106.5 IPS |
|
|
Object Detection (HP)
|
99% |
10356
823.8 IPS |
|
|
Object Detection (Q)
|
91% |
11557
923.4 IPS |
|
|
Face Detection (SP)
|
100% |
2622
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
25446
302.3 IPS |
|
|
Face Detection (Q)
|
100% |
33367
396.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5155
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
53229
410.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
68715
537.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17069
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
149598
192.3 IPS |
|
|
Style Transfer (Q)
|
96% |
142798
184.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3629
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27707
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27541
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2572
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2386
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2424
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3499
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6105
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6767
116.9 IPS |
