iPhone17,5
Geekbench AI Score
4031
Single Precision Score
32572
Half Precision Score
45939
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gb_user21 |
| Upload Date | March 04 2025 08:30 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1931
359.2 IPS |
|
|
Image Classification (HP)
|
100% |
15081
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
20501
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18177
294.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23689
384.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7438
8.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
139360
162.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291706
341.9 IPS |
|
|
Object Detection (SP)
|
100% |
1915
151.9 IPS |
|
|
Object Detection (HP)
|
100% |
16163
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22328
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
40752
484.2 IPS |
|
|
Face Detection (Q)
|
100% |
56912
676.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6706
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94790
730.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161406
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20462
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244746
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
287767
371.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4752
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49765
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83681
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3408
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4720
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5182
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3504
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9805
168.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11547
199.5 IPS |
