iPhone17,2
Geekbench AI Score
4267
Single Precision Score
31268
Half Precision Score
43365
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 07:11 PM |
| Views | 1 |
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% |
1986
369.3 IPS |
|
|
Image Classification (HP)
|
100% |
15518
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
21154
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18203
295.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24051
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7976
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
147105
171.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291194
341.3 IPS |
|
|
Object Detection (SP)
|
100% |
1998
158.5 IPS |
|
|
Object Detection (HP)
|
100% |
16411
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22277
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
41279
490.5 IPS |
|
|
Face Detection (Q)
|
100% |
59159
702.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7079
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94357
727.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160970
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21791
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245131
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304844
393.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5215
192.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49787
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83376
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2904
3.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2592
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9492
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11360
196.3 IPS |
