iPhone 15 Pro
Geekbench AI Score
4744
Single Precision Score
5794
Half Precision Score
2607
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2644
491.7 IPS |
|
|
Image Classification (HP)
|
100% |
1709
317.9 IPS |
|
|
Image Classification (Q)
|
97% |
2213
413.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4001
64.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4048
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15342
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16246
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15082
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2806
222.6 IPS |
|
|
Object Detection (HP)
|
100% |
3199
253.7 IPS |
|
|
Object Detection (Q)
|
91% |
2587
206.7 IPS |
|
|
Face Detection (SP)
|
100% |
6916
82.2 IPS |
|
|
Face Detection (HP)
|
100% |
9280
110.3 IPS |
|
|
Face Detection (Q)
|
100% |
6539
77.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12057
92.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13720
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10056
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19898
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23594
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24605
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6662
246.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8110
299.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6190
228.6 IPS |
|
|
Text Classification (SP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5389
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4158
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.8 IPS |
|
|
Machine Translation (Q)
|
0
|
