iPhone17,2
Geekbench AI Score
4437
Single Precision Score
32527
Half Precision Score
45342
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1992
370.4 IPS |
|
|
Image Classification (HP)
|
100% |
15328
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20535
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18290
296.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24002
389.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8435
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
153372
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
290868
340.9 IPS |
|
|
Object Detection (SP)
|
100% |
2118
168.0 IPS |
|
|
Object Detection (HP)
|
100% |
16215
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22346
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41546
493.7 IPS |
|
|
Face Detection (Q)
|
100% |
57839
687.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7620
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95133
732.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159667
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23250
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245720
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301446
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5250
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50232
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83289
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4286
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4373
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3766
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9094
156.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11309
195.4 IPS |
