iPhone17,5
Geekbench AI Score
4248
Single Precision Score
32751
Half Precision Score
45641
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 01:43 PM |
| Views | 1 |
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% |
2014
374.6 IPS |
|
|
Image Classification (HP)
|
100% |
15164
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20153
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18155
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23894
387.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8007
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
148015
172.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292822
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (HP)
|
100% |
16488
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22745
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3484
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
39700
471.7 IPS |
|
|
Face Detection (Q)
|
100% |
56160
667.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7758
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95706
737.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159079
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
17444
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245079
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304108
392.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4785
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49747
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84769
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4434
5.92 KIPS |
|
|
Text Classification (Q)
|
93% |
4673
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10291
177.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11365
196.4 IPS |
