iPhone17,5
Geekbench AI Score
3984
Single Precision Score
31826
Half Precision Score
44620
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | May 17 2025 02:21 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1973
366.9 IPS |
|
|
Image Classification (HP)
|
100% |
15501
2.88 KIPS |
|
|
Image Classification (Q)
|
97% |
20717
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18151
294.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23706
384.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7191
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
133482
155.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
280795
329.1 IPS |
|
|
Object Detection (SP)
|
100% |
2103
166.8 IPS |
|
|
Object Detection (HP)
|
100% |
16188
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22561
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
39782
472.7 IPS |
|
|
Face Detection (Q)
|
100% |
56425
670.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7010
54.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95377
734.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
160046
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
15349
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244844
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
305234
393.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49088
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83337
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3799
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3940
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3862
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10125
174.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11110
192.0 IPS |
