iPhone17,1
Geekbench AI Score
4439
Single Precision Score
33078
Half Precision Score
45961
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 10:32 PM |
| Views | 1 |
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% |
2008
373.5 IPS |
|
|
Image Classification (HP)
|
100% |
15163
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20794
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18299
296.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23881
387.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8407
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
149730
174.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293202
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2054
162.9 IPS |
|
|
Object Detection (HP)
|
100% |
16552
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22722
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3587
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
41297
490.7 IPS |
|
|
Face Detection (Q)
|
100% |
57262
680.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7511
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95263
733.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
161063
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22979
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244259
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
300914
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5479
202.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50340
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84592
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4983
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4752
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3812
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9463
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11399
197.0 IPS |
