iPhone17,2
Geekbench AI Score
4474
Single Precision Score
33051
Half Precision Score
46206
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Pablolu |
| Upload Date | November 11 2024 01:55 AM |
| Views | 2 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1980
368.2 IPS |
|
|
Image Classification (HP)
|
100% |
15341
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20434
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18249
295.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24137
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8628
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153708
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293423
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
2123
168.4 IPS |
|
|
Object Detection (HP)
|
100% |
16231
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22864
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
42091
500.1 IPS |
|
|
Face Detection (Q)
|
100% |
57836
687.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7624
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95287
734.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
164487
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23267
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245188
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301858
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5587
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50715
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84210
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4720
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4873
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9462
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11377
196.6 IPS |
