iPhone17,1
Geekbench AI Score
4384
Single Precision Score
32385
Half Precision Score
44350
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | holgr |
| Upload Date | September 21 2024 09:09 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1968
366.1 IPS |
|
|
Image Classification (HP)
|
100% |
15425
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20644
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14682
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18481
299.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8123
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
149488
174.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
290552
340.5 IPS |
|
|
Object Detection (SP)
|
100% |
2066
163.9 IPS |
|
|
Object Detection (HP)
|
100% |
16665
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22218
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3449
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
40603
482.5 IPS |
|
|
Face Detection (Q)
|
100% |
54087
642.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7535
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94560
728.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160253
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23021
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244459
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300236
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5454
201.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49444
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83467
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4900
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4870
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9891
170.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11302
195.3 IPS |
