iPhone 15 Pro
Geekbench AI Score
3962
Single Precision Score
23961
Half Precision Score
32691
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jw154j |
| Upload Date | January 19 2025 06:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1718
319.5 IPS |
|
|
Image Classification (HP)
|
100% |
10802
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15200
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15923
258.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20854
338.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7871
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
107256
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
204421
239.6 IPS |
|
|
Object Detection (SP)
|
100% |
1792
142.1 IPS |
|
|
Object Detection (HP)
|
100% |
13896
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19039
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
34924
415.0 IPS |
|
|
Face Detection (Q)
|
100% |
50975
605.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7006
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78290
603.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
128506
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20971
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202870
260.8 IPS |
|
|
Style Transfer (Q)
|
96% |
245799
317.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33921
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58721
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (Q)
|
93% |
1616
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6156
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7397
127.8 IPS |
