iPhone 16 Pro iPhone17,1
Geekbench AI Score
4615
Single Precision Score
31013
Half Precision Score
42734
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Auhim |
| Upload Date | September 21 2024 09:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
15222
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19857
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14702
238.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18336
297.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9177
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
154651
180.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293122
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
2163
171.6 IPS |
|
|
Object Detection (HP)
|
100% |
16331
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22627
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3691
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
41224
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
55007
653.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8010
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95386
734.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160590
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24748
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245319
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
299229
386.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5861
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50475
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86653
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3274
4.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3799
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9411
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11217
193.8 IPS |
