iPhone17,5
Geekbench AI Score
4322
Single Precision Score
33085
Half Precision Score
45937
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 09 2025 07:04 PM |
| Views | 3 |
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% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
15127
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20638
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18164
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23847
386.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8384
9.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
147381
172.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292954
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
100% |
16318
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22612
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
39630
470.9 IPS |
|
|
Face Detection (Q)
|
100% |
56131
667.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7757
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95326
734.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160886
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
17509
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244450
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
304480
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5056
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51764
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87263
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4708
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4671
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3899
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10568
182.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11452
197.9 IPS |
