iPhone 15 Pro
Geekbench AI Score
4017
Single Precision Score
21085
Half Precision Score
27342
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | August 30 2024 10:05 PM |
| Views | 26 |
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
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
10700
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
12742
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10922
177.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
10844
175.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8296
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
103169
120.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
199230
233.7 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.8 IPS |
|
|
Object Detection (HP)
|
100% |
12629
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
18167
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
21585
256.5 IPS |
|
|
Face Detection (Q)
|
100% |
37067
440.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7242
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
64269
495.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
73941
571.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21618
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
139680
179.6 IPS |
|
|
Style Transfer (Q)
|
100% |
139483
179.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5108
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33873
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
56089
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3125
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (Q)
|
93% |
2990
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6010
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7284
125.9 IPS |
