iPhone17,5
Geekbench AI Score
4221
Single Precision Score
33200
Half Precision Score
45766
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreyshunt |
| Upload Date | June 20 2025 08:22 AM |
| Views | 2 |
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% |
1989
369.9 IPS |
|
|
Image Classification (HP)
|
100% |
15523
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
20421
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18170
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23788
385.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8106
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
144988
169.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293318
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
100% |
16449
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22616
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
40265
478.4 IPS |
|
|
Face Detection (Q)
|
100% |
57060
678.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7525
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95444
735.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159901
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
16841
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245045
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303047
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4885
180.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49770
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83755
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5024
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4588
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3872
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10272
176.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11774
203.5 IPS |
