iPhone 15 Pro
Geekbench AI Score
4067
Single Precision Score
24388
Half Precision Score
34061
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | LKJ7tud10 |
| Upload Date | October 19 2024 11:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1730
321.7 IPS |
|
|
Image Classification (HP)
|
100% |
11092
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
15361
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12965
210.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16032
259.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8616
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
106933
124.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
203552
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
13433
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
19171
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
35494
421.8 IPS |
|
|
Face Detection (Q)
|
100% |
50940
605.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7295
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78616
605.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
129256
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
21989
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202970
260.9 IPS |
|
|
Style Transfer (Q)
|
96% |
247819
319.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5184
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34228
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59170
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3055
4.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3138
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6232
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7415
128.1 IPS |
