iPhone 13 Pro
Geekbench AI Score
3766
Single Precision Score
4133
Half Precision Score
3736
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | masm66 |
| Upload Date | November 12 2024 11:05 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
1123
208.9 IPS |
|
|
Image Classification (Q)
|
97% |
1430
266.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2247
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2511
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11215
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12353
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11372
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1966
156.0 IPS |
|
|
Object Detection (HP)
|
100% |
2004
158.9 IPS |
|
|
Object Detection (Q)
|
91% |
1602
128.0 IPS |
|
|
Face Detection (SP)
|
100% |
4689
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
6032
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
4062
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8546
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9235
71.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7520
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18925
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23392
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21677
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4921
181.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4906
181.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3919
144.7 IPS |
|
|
Text Classification (SP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4098
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4096
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
762
13.2 IPS |
