iPhone17,1
Geekbench AI Score
4306
Single Precision Score
32744
Half Precision Score
46674
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ramphex |
| Upload Date | November 12 2024 07:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
15137
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
21652
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1878
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18393
298.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23987
388.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8149
9.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
144463
168.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292830
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
1935
153.5 IPS |
|
|
Object Detection (HP)
|
100% |
16222
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22887
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
41354
491.4 IPS |
|
|
Face Detection (Q)
|
100% |
58570
695.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7446
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94845
730.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
165692
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
22052
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244381
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301711
389.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5350
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49961
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84044
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4869
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5018
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3765
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9315
160.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11415
197.3 IPS |
