iPhone17,2
Geekbench AI Score
3876
Single Precision Score
32876
Half Precision Score
45548
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Maxdboy100 |
| Upload Date | November 02 2024 11:35 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1818
338.2 IPS |
|
|
Image Classification (HP)
|
100% |
15426
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20903
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1693
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18203
295.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23811
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6834
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
144962
169.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
288302
337.9 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.4 IPS |
|
|
Object Detection (HP)
|
100% |
16605
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22883
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3118
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
42526
505.3 IPS |
|
|
Face Detection (Q)
|
100% |
59711
709.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6394
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96176
741.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
165395
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
19078
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245257
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
292877
377.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4350
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50511
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80820
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4758
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4741
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3509
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9054
156.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10563
182.5 IPS |
