iPhone17,5
Geekbench AI Score
4363
Single Precision Score
33337
Half Precision Score
44993
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | August 18 2025 03:17 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
14208
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
19367
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18114
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23557
381.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8340
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
145127
169.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
289938
339.8 IPS |
|
|
Object Detection (SP)
|
100% |
2269
180.0 IPS |
|
|
Object Detection (HP)
|
100% |
15985
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21219
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3431
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
40204
477.7 IPS |
|
|
Face Detection (Q)
|
100% |
51890
616.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7467
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93966
724.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
150070
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
19651
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
242836
312.2 IPS |
|
|
Style Transfer (Q)
|
96% |
295040
380.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5225
192.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50803
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79798
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6272
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6258
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3792
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9716
167.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10558
182.5 IPS |
