iPhone17,5
Geekbench AI Score
4324
Single Precision Score
33279
Half Precision Score
46567
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 09 2025 07:42 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% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
15564
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
20482
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18181
294.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23813
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8534
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
152022
177.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293264
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
100% |
16489
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22952
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3510
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
40222
477.9 IPS |
|
|
Face Detection (Q)
|
100% |
56658
673.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7700
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95402
735.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
165135
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
17936
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244936
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
305126
393.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4911
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50865
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85148
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4759
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5192
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3925
67.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10327
177.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11575
200.0 IPS |
