iPhone 15 Pro
Geekbench AI Score
4063
Single Precision Score
25221
Half Precision Score
34791
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Masatako123 |
| Upload Date | November 16 2024 09:18 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1715
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
10694
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
16265
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15777
255.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21017
340.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8534
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
107648
125.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
204874
240.1 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
13634
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
19178
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3270
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
35657
423.7 IPS |
|
|
Face Detection (Q)
|
100% |
51690
614.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7305
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78472
604.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
127954
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
22015
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203947
262.2 IPS |
|
|
Style Transfer (Q)
|
96% |
250332
323.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5214
192.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34572
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58915
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2742
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6715
115.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7233
125.0 IPS |
