iPhone 15 Pro
Geekbench AI Score
3943
Single Precision Score
23996
Half Precision Score
32550
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 05:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1705
317.1 IPS |
|
|
Image Classification (HP)
|
100% |
11301
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
14574
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15921
258.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20846
337.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7994
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
108022
126.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
204410
239.6 IPS |
|
|
Object Detection (SP)
|
100% |
1796
142.5 IPS |
|
|
Object Detection (HP)
|
100% |
13699
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18619
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
34331
407.9 IPS |
|
|
Face Detection (Q)
|
100% |
50901
604.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6880
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
77969
600.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
127959
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20963
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203357
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
247268
319.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4953
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33338
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58427
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (Q)
|
93% |
1669
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6567
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7353
127.1 IPS |
