iPhone 13 Pro
Geekbench AI Score
3657
Single Precision Score
4097
Half Precision Score
3649
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Sparrrxw |
| Upload Date | March 20 2025 01:53 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1463
272.1 IPS |
|
|
Image Classification (HP)
|
100% |
1526
283.7 IPS |
|
|
Image Classification (Q)
|
97% |
1476
275.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2292
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2452
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11253
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12325
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11531
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.1 IPS |
|
|
Object Detection (HP)
|
100% |
2053
162.8 IPS |
|
|
Object Detection (Q)
|
91% |
1641
131.1 IPS |
|
|
Face Detection (SP)
|
100% |
4675
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
6148
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
4044
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8481
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8951
69.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7661
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18164
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18798
24.2 IPS |
|
|
Style Transfer (Q)
|
96% |
17341
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4578
169.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3906
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4090
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4068
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
717
12.4 IPS |
