iPhone17,1
Geekbench AI Score
5663
Single Precision Score
6663
Half Precision Score
5887
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | owine |
| Upload Date | September 22 2024 05:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2817
523.9 IPS |
|
|
Image Classification (HP)
|
100% |
2633
489.6 IPS |
|
|
Image Classification (Q)
|
97% |
2762
515.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3369
54.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4355
70.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4356
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15571
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16457
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15553
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3324
263.7 IPS |
|
|
Object Detection (HP)
|
100% |
3468
275.1 IPS |
|
|
Object Detection (Q)
|
91% |
2846
227.4 IPS |
|
|
Face Detection (SP)
|
100% |
7261
86.3 IPS |
|
|
Face Detection (HP)
|
100% |
10475
124.5 IPS |
|
|
Face Detection (Q)
|
100% |
7128
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13257
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14236
109.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12077
94.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32600
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39392
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
35414
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8018
296.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8465
312.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6861
253.3 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5844
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5823
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
804
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
771
13.3 IPS |
