iPhone17,5
Geekbench AI Score
4375
Single Precision Score
32897
Half Precision Score
45705
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 11 2025 04:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
15315
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
19753
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18200
295.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23768
385.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8743
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153809
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293315
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2264
179.6 IPS |
|
|
Object Detection (HP)
|
100% |
16444
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22760
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3581
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
40207
477.7 IPS |
|
|
Face Detection (Q)
|
100% |
57100
678.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7990
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95252
733.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
161827
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
18453
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244494
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303169
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5179
191.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49979
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85847
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3390
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4419
5.90 KIPS |
|
|
Text Classification (Q)
|
93% |
4641
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3842
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10185
175.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11372
196.5 IPS |
