iPhone 13 Pro
Geekbench AI Score
3261
Single Precision Score
5715
Half Precision Score
4645
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 11:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
2346
436.2 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2424
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14613
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12277
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2701
215.0 IPS |
|
|
Object Detection (Q)
|
94% |
1922
153.2 IPS |
|
|
Face Detection (SP)
|
100% |
2652
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5566
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
3176
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5309
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10395
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7253
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17646
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27962
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22986
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4814
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3610
133.3 IPS |
|
|
Text Classification (SP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4219
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4227
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3603
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6243
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6227
107.6 IPS |
