iPhone17,5
Geekbench AI Score
3925
Single Precision Score
33036
Half Precision Score
45985
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 11:40 AM |
| 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% |
1893
352.1 IPS |
|
|
Image Classification (HP)
|
100% |
15565
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
20974
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18165
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23900
387.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5297
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
151013
176.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
293723
344.3 IPS |
|
|
Object Detection (SP)
|
100% |
2189
173.6 IPS |
|
|
Object Detection (HP)
|
100% |
16387
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23125
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3298
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
40659
483.1 IPS |
|
|
Face Detection (Q)
|
100% |
56951
676.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7336
56.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95696
737.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160028
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
15898
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
239223
307.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303169
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4565
168.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51396
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84341
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4374
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4544
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10576
182.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11728
202.7 IPS |
