iPhone17,5
Geekbench AI Score
4099
Single Precision Score
32824
Half Precision Score
46094
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | May 13 2025 07:58 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2029
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
15220
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20252
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18186
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23794
385.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8101
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
144392
168.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292054
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2181
173.0 IPS |
|
|
Object Detection (HP)
|
100% |
16222
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22275
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3432
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
39520
469.6 IPS |
|
|
Face Detection (Q)
|
100% |
56308
669.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7445
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95102
732.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161207
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
17143
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245146
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302649
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4822
178.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49533
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83913
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4848
6.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5345
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2860
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10123
174.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11211
193.7 IPS |
