iPhone 13 Pro
Geekbench AI Score
3289
Single Precision Score
20763
Half Precision Score
23151
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 27 2026 07:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1335
248.2 IPS |
|
|
Image Classification (HP)
|
100% |
9516
1.77 KIPS |
|
|
Image Classification (Q)
|
96% |
9915
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12839
208.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13949
226.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6475
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
88831
103.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
93737
109.9 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
99% |
10874
865.0 IPS |
|
|
Object Detection (Q)
|
91% |
12243
978.2 IPS |
|
|
Face Detection (SP)
|
100% |
2674
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
29403
349.4 IPS |
|
|
Face Detection (Q)
|
100% |
36946
439.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5407
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
57980
446.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
74287
580.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17576
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
167111
214.8 IPS |
|
|
Style Transfer (Q)
|
96% |
170610
220.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3951
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29322
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34820
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2457
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2397
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3614
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6149
105.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7132
123.3 IPS |
