iPhone 15 Pro
Geekbench AI Score
3948
Single Precision Score
24562
Half Precision Score
32858
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 24 2025 11:10 AM |
| Views | 4 |
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% |
1697
315.5 IPS |
|
|
Image Classification (HP)
|
100% |
10475
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
15157
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15862
257.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20903
338.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8260
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
107626
125.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
203958
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1815
144.0 IPS |
|
|
Object Detection (HP)
|
100% |
13480
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
18558
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
2873
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
33986
403.8 IPS |
|
|
Face Detection (Q)
|
100% |
50576
601.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7120
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78236
602.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
127896
999.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21358
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
201267
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
247704
319.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5066
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33703
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57133
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (Q)
|
93% |
1848
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6201
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7233
125.0 IPS |
