iPhone17,2
Geekbench AI Score
5671
Single Precision Score
6621
Half Precision Score
6166
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | RolandFromHolland85 |
| Upload Date | November 09 2024 11:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2829
526.1 IPS |
|
|
Image Classification (HP)
|
100% |
2576
479.1 IPS |
|
|
Image Classification (Q)
|
97% |
2858
533.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3301
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4463
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4435
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15625
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16442
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15453
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3162
250.8 IPS |
|
|
Object Detection (HP)
|
100% |
3505
278.0 IPS |
|
|
Object Detection (Q)
|
91% |
3153
251.9 IPS |
|
|
Face Detection (SP)
|
100% |
7730
91.9 IPS |
|
|
Face Detection (HP)
|
100% |
10746
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
7199
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13258
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14546
112.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12087
94.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32972
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39292
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36911
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7937
293.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8370
309.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6838
252.5 IPS |
|
|
Text Classification (SP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5701
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5638
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1040
18.0 IPS |
