iPhone 15 Pro
Geekbench AI Score
2686
Single Precision Score
14251
Half Precision Score
16249
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | MrMage |
| Upload Date | August 20 2024 07:49 PM |
| Views | 10 |
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% |
1376
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
6257
1.16 KIPS |
|
|
Image Classification (Q)
|
99% |
6784
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5245
85.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5247
85.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7284
8.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
87788
102.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
150035
176.0 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.7 IPS |
|
|
Object Detection (HP)
|
100% |
8357
662.9 IPS |
|
|
Object Detection (Q)
|
93% |
9989
797.0 IPS |
|
|
Face Detection (SP)
|
100% |
2279
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
11182
132.9 IPS |
|
|
Face Detection (Q)
|
100% |
13250
157.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4641
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
42448
327.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
48368
374.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12244
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
127947
164.5 IPS |
|
|
Style Transfer (Q)
|
100% |
128478
165.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3935
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18468
681.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25558
946.9 IPS |
|
|
Text Classification (SP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (HP)
|
71% |
4980
7.16 KIPS |
|
|
Text Classification (Q)
|
69% |
4591
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1866
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2570
44.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2490
43.0 IPS |
