iPhone17,1
Geekbench AI Score
4548
Single Precision Score
32446
Half Precision Score
45280
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Irish910 |
| Upload Date | October 28 2024 09:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
15437
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
21099
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14731
238.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18315
296.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8654
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153679
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292518
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2161
171.4 IPS |
|
|
Object Detection (HP)
|
100% |
16312
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23241
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3650
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
41222
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
57814
687.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7860
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95486
735.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161847
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23857
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245934
316.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302179
389.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5753
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50852
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84961
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3409
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4833
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5003
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3866
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9535
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11476
198.3 IPS |
