iPhone17,5
Geekbench AI Score
4255
Single Precision Score
33070
Half Precision Score
45836
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 23 2025 05:38 AM |
| Views | 3 |
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% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
100% |
15352
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20502
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18140
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23873
387.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8179
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
148782
173.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293109
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2235
177.3 IPS |
|
|
Object Detection (HP)
|
100% |
16190
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22543
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3439
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
39717
471.9 IPS |
|
|
Face Detection (Q)
|
100% |
56395
670.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7693
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
97048
747.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160154
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
17437
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245349
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
303250
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5087
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51314
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84320
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3390
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4717
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4877
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3853
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10190
175.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11239
194.2 IPS |
