iPhone 13 Pro
Geekbench AI Score
3153
Single Precision Score
5781
Half Precision Score
4709
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | WallyS |
| Upload Date | December 30 2025 11:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1255
233.4 IPS |
|
|
Image Classification (HP)
|
100% |
2393
445.0 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2431
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6037
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14710
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12228
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.3 IPS |
|
|
Object Detection (HP)
|
97% |
2764
220.1 IPS |
|
|
Object Detection (Q)
|
94% |
1972
157.2 IPS |
|
|
Face Detection (SP)
|
100% |
2611
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5730
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3232
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5211
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10622
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7454
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17191
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27336
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22475
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3610
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4778
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3698
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4147
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4132
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3493
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6651
114.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6623
114.5 IPS |
