iPhone17,1
Geekbench AI Score
4446
Single Precision Score
32396
Half Precision Score
45231
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | 2048 |
| Upload Date | September 21 2024 02:08 PM |
| Views | 18 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
15389
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20487
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14725
238.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18385
298.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8450
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
152361
177.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
291727
341.9 IPS |
|
|
Object Detection (SP)
|
100% |
2093
166.0 IPS |
|
|
Object Detection (HP)
|
100% |
16533
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
23027
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3606
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
41105
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
55866
663.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7648
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95511
735.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160927
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23127
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245104
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301153
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5543
204.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50727
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84963
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3440
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4729
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5388
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3651
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9665
166.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11429
197.5 IPS |
