iPhone 15 Pro
Geekbench AI Score
2783
Single Precision Score
14327
Half Precision Score
19265
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 05:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (HP)
|
100% |
6286
1.17 KIPS |
|
|
Image Classification (Q)
|
97% |
8094
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
800
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5230
84.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10421
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8052
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
86476
100.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
156981
184.0 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
100% |
8309
659.1 IPS |
|
|
Object Detection (Q)
|
93% |
10285
820.6 IPS |
|
|
Face Detection (SP)
|
100% |
2241
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
11269
133.9 IPS |
|
|
Face Detection (Q)
|
100% |
13583
161.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4907
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
42807
329.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
70038
547.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12524
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
128494
165.2 IPS |
|
|
Style Transfer (Q)
|
96% |
138299
178.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4183
154.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18368
678.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29651
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
1840
2.46 KIPS |
|
|
Text Classification (HP)
|
71% |
5168
7.43 KIPS |
|
|
Text Classification (Q)
|
69% |
5102
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1895
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2622
45.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2598
44.9 IPS |
