iPhone17,1
Geekbench AI Score
4564
Single Precision Score
32759
Half Precision Score
45822
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | GlitchHunter |
| Upload Date | September 30 2024 04:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2034
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
15261
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20928
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18185
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24159
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8991
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152577
178.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
291620
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.3 IPS |
|
|
Object Detection (HP)
|
100% |
16178
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22339
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3660
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
41767
496.3 IPS |
|
|
Face Detection (Q)
|
100% |
57268
680.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7834
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94728
729.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
159526
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24185
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244376
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301020
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5679
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50255
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84890
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4559
6.09 KIPS |
|
|
Text Classification (Q)
|
93% |
4699
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3804
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9381
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11295
195.2 IPS |
