iPhone 13 Pro
Geekbench AI Score
3319
Single Precision Score
16995
Half Precision Score
18847
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | MichelGast |
| Upload Date | October 05 2024 12:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1365
253.9 IPS |
|
|
Image Classification (HP)
|
100% |
9303
1.73 KIPS |
|
|
Image Classification (Q)
|
96% |
10179
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7562
122.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7675
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6581
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
84565
98.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
93581
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (HP)
|
99% |
10613
844.2 IPS |
|
|
Object Detection (Q)
|
91% |
11714
936.0 IPS |
|
|
Face Detection (SP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
29389
349.2 IPS |
|
|
Face Detection (Q)
|
100% |
33254
395.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5558
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
53960
415.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
78163
610.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17809
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
154934
199.2 IPS |
|
|
Style Transfer (Q)
|
96% |
156487
201.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25987
959.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29053
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2387
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2447
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2232
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2284
39.5 IPS |
