iPhone 13 Pro
Geekbench AI Score
2778
Single Precision Score
12758
Half Precision Score
13692
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | tellumo |
| Upload Date | September 20 2024 12:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
9078
1.69 KIPS |
|
|
Image Classification (Q)
|
96% |
10113
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7100
115.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7425
120.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4623
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
55617
64.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
52941
62.1 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
99% |
8259
657.0 IPS |
|
|
Object Detection (Q)
|
91% |
8170
652.8 IPS |
|
|
Face Detection (SP)
|
100% |
2477
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
15159
180.1 IPS |
|
|
Face Detection (Q)
|
100% |
19024
226.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4183
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41125
316.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
49056
383.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10918
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
95386
122.6 IPS |
|
|
Style Transfer (Q)
|
96% |
95007
122.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3387
125.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19778
730.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23823
879.7 IPS |
|
|
Text Classification (SP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2457
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2889
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1434
24.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1374
23.7 IPS |
