iPhone17,5
Geekbench AI Score
4242
Single Precision Score
32832
Half Precision Score
45450
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | March 27 2025 04:56 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| 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 | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2032
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
15214
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20325
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18152
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23796
385.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8220
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
144689
168.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293006
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.5 IPS |
|
|
Object Detection (HP)
|
100% |
16054
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22440
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3444
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
39501
469.4 IPS |
|
|
Face Detection (Q)
|
100% |
57732
686.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7444
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95142
733.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160726
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
17476
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245064
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
306238
395.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4754
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49711
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83455
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4872
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4515
6.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3881
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10174
175.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11048
190.9 IPS |
