iPhone17,1 GPU iPhone17,1
Geekbench AI Score
5820
Single Precision Score
6818
Half Precision Score
6159
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | nboahwe373283 |
| Upload Date | November 28 2024 07:02 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2972
552.7 IPS |
|
|
Image Classification (HP)
|
100% |
2804
521.4 IPS |
|
|
Image Classification (Q)
|
97% |
2896
540.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3583
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4456
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4428
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15875
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16529
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15647
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3223
255.6 IPS |
|
|
Object Detection (HP)
|
100% |
3605
285.9 IPS |
|
|
Object Detection (Q)
|
91% |
2886
230.6 IPS |
|
|
Face Detection (SP)
|
100% |
7889
93.7 IPS |
|
|
Face Detection (HP)
|
100% |
10827
128.6 IPS |
|
|
Face Detection (Q)
|
100% |
7239
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13356
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14603
112.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12136
94.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33351
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39672
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36011
46.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8154
301.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8425
311.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6875
253.9 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5871
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5874
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1063
18.4 IPS |
