iPhone17,5
Geekbench AI Score
4047
Single Precision Score
33738
Half Precision Score
46068
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | August 03 2025 02:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
14618
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
19236
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1674
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18045
292.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23664
383.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7598
8.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
135970
158.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
262670
307.9 IPS |
|
|
Object Detection (SP)
|
100% |
1984
157.3 IPS |
|
|
Object Detection (HP)
|
100% |
15988
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21837
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
40039
475.7 IPS |
|
|
Face Detection (Q)
|
100% |
52841
627.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7038
54.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
93383
719.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
150828
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
18335
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
243359
312.8 IPS |
|
|
Style Transfer (Q)
|
96% |
295398
381.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4828
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48765
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81750
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3642
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
6431
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6288
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3242
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11677
201.1 IPS |
|
|
Machine Translation (Q)
|
98% |
13626
235.5 IPS |
