iPhone17,5
Geekbench AI Score
4381
Single Precision Score
33296
Half Precision Score
44334
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | DavidCool1 |
| Upload Date | April 07 2025 10:37 PM |
| Views | 15 |
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% |
2027
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
15142
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20751
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18164
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23714
384.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8656
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153708
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292852
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2275
180.4 IPS |
|
|
Object Detection (HP)
|
100% |
16153
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22640
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3534
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
39715
471.9 IPS |
|
|
Face Detection (Q)
|
100% |
55899
664.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7957
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95046
732.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161853
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
18370
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245240
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303490
391.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5231
193.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51677
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84934
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5023
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
3482
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3898
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10206
175.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11074
191.4 IPS |
