iPhone17,5
Geekbench AI Score
4336
Single Precision Score
4637
Half Precision Score
4224
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | May 17 2025 02:18 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
1095
203.6 IPS |
|
|
Image Classification (Q)
|
96% |
667
124.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3057
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3349
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3189
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11076
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11480
13.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11089
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2111
167.5 IPS |
|
|
Object Detection (HP)
|
100% |
1997
158.4 IPS |
|
|
Object Detection (Q)
|
92% |
1906
152.1 IPS |
|
|
Face Detection (SP)
|
100% |
6374
75.7 IPS |
|
|
Face Detection (HP)
|
100% |
7332
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
5984
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10098
77.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10805
83.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9902
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24315
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26058
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
25699
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4847
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4247
156.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4320
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
3398
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5970
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5950
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1030
17.8 IPS |
