iPhone17,5
Geekbench AI Score
3704
Single Precision Score
3870
Half Precision Score
3577
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 17 2025 03:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
909
169.0 IPS |
|
|
Image Classification (HP)
|
100% |
671
124.7 IPS |
|
|
Image Classification (Q)
|
97% |
928
173.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3018
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3010
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11054
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11362
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10942
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2044
162.1 IPS |
|
|
Object Detection (HP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (Q)
|
91% |
1249
99.8 IPS |
|
|
Face Detection (SP)
|
100% |
6685
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
7869
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
5391
64.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10472
80.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11102
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9249
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24212
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26027
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24906
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4118
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4360
161.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3245
119.8 IPS |
|
|
Text Classification (SP)
|
100% |
3474
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
6132
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6101
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
389
6.71 IPS |
|
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (Q)
|
98% |
366
6.33 IPS |
