iPhone 13 Pro
Geekbench AI Score
3247
Single Precision Score
20119
Half Precision Score
23430
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 01 2026 12:34 AM |
| Views | 12 |
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% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
7886
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
9717
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12236
198.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15621
253.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6276
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
89654
104.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
96240
112.8 IPS |
|
|
Object Detection (SP)
|
100% |
1427
113.2 IPS |
|
|
Object Detection (HP)
|
99% |
11173
888.8 IPS |
|
|
Object Detection (Q)
|
91% |
12234
977.6 IPS |
|
|
Face Detection (SP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
29031
345.0 IPS |
|
|
Face Detection (Q)
|
100% |
37126
441.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5400
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
56773
437.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
81164
634.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17396
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
165877
213.2 IPS |
|
|
Style Transfer (Q)
|
96% |
163835
211.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26366
973.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30918
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2469
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2476
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3626
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6397
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7383
127.6 IPS |
