iPhone17,5
Geekbench AI Score
3921
Single Precision Score
32514
Half Precision Score
45766
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreyshunt |
| Upload Date | May 17 2025 06:54 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1936
360.0 IPS |
|
|
Image Classification (HP)
|
100% |
15413
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20294
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18166
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23730
384.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7523
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
138922
162.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
282673
331.3 IPS |
|
|
Object Detection (SP)
|
100% |
1919
152.2 IPS |
|
|
Object Detection (HP)
|
100% |
16112
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22538
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3097
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
40363
479.6 IPS |
|
|
Face Detection (Q)
|
100% |
56416
670.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6893
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95165
733.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161047
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20384
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244296
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303944
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4867
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49957
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83874
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4578
6.11 KIPS |
|
|
Text Classification (Q)
|
93% |
4913
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2434
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9820
169.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11548
199.6 IPS |
