iPhone 13 Pro
Geekbench AI Score
4014
Single Precision Score
4466
Half Precision Score
4219
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 04 2026 06:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.7 |
| 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% |
1748
325.1 IPS |
|
|
Image Classification (HP)
|
100% |
1429
265.7 IPS |
|
|
Image Classification (Q)
|
96% |
1599
298.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2985
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2829
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11285
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12472
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12396
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1947
154.4 IPS |
|
|
Object Detection (HP)
|
100% |
1991
157.9 IPS |
|
|
Object Detection (Q)
|
92% |
1755
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
4938
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
6481
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
5033
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8726
67.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9362
72.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8576
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18553
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22836
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22863
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4893
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4905
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4258
157.2 IPS |
|
|
Text Classification (SP)
|
100% |
2483
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4326
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4260
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1015
17.5 IPS |
