iPhone17,5
Geekbench AI Score
4252
Single Precision Score
33253
Half Precision Score
45222
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | November 11 2025 03:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.69 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% |
14854
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
18770
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18108
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23671
383.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7912
9.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
138128
161.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294058
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
2282
181.0 IPS |
|
|
Object Detection (HP)
|
100% |
15851
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21493
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
39731
472.1 IPS |
|
|
Face Detection (Q)
|
100% |
52191
620.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7310
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94387
727.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
152073
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
18660
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244263
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
293472
378.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4815
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51432
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79914
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6224
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6244
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9576
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10961
189.4 IPS |
