iPhone17,5
Geekbench AI Score
4326
Single Precision Score
33503
Half Precision Score
45345
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 10:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
14774
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18812
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17987
291.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23733
384.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8261
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
144044
168.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
292471
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
100% |
16012
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21698
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3457
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
40516
481.4 IPS |
|
|
Face Detection (Q)
|
100% |
53690
638.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7234
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
93121
717.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
152844
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
18379
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245212
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296493
382.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5126
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51351
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80151
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6288
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6260
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9732
167.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10627
183.6 IPS |
