iPhone 16e iPhone17,5
Geekbench AI Score
4109
Single Precision Score
4361
Half Precision Score
4302
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | christippett |
| Upload Date | October 23 2025 06:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 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% |
782
145.4 IPS |
|
|
Image Classification (HP)
|
100% |
791
147.1 IPS |
|
|
Image Classification (Q)
|
96% |
886
165.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3174
51.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3259
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3218
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11029
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11310
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11245
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2106
167.1 IPS |
|
|
Object Detection (HP)
|
100% |
1935
153.5 IPS |
|
|
Object Detection (Q)
|
92% |
1840
146.8 IPS |
|
|
Face Detection (SP)
|
100% |
6388
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
7302
86.8 IPS |
|
|
Face Detection (Q)
|
100% |
5987
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10143
78.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10093
77.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9685
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24418
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26112
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25641
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4721
174.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3517
129.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3932
145.2 IPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
6141
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5998
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1050
18.2 IPS |
