iPhone17,5
Geekbench AI Score
3894
Single Precision Score
6858
Half Precision Score
5428
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 07:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.88 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1608
299.0 IPS |
|
|
Image Classification (HP)
|
100% |
2838
527.8 IPS |
|
|
Image Classification (Q)
|
96% |
1935
361.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2616
42.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2879
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7026
8.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
14585
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12646
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
2071
164.2 IPS |
|
|
Object Detection (HP)
|
97% |
3423
272.5 IPS |
|
|
Object Detection (Q)
|
94% |
2309
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6376
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
3535
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6953
53.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
12490
96.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8475
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16322
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
33353
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27050
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4391
162.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6770
250.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4612
170.3 IPS |
|
|
Text Classification (SP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
6169
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6180
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3796
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5602
96.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5915
102.2 IPS |
