iPhone17,2
Geekbench AI Score
4481
Single Precision Score
33158
Half Precision Score
46658
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
15422
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
21759
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18278
296.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23917
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8880
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152870
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293341
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2120
168.2 IPS |
|
|
Object Detection (HP)
|
100% |
16660
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22576
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
42200
501.4 IPS |
|
|
Face Detection (Q)
|
100% |
58448
694.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7675
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95148
733.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161070
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23714
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245553
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
304609
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5515
203.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50135
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84504
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4879
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5162
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3664
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9279
159.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11342
196.0 IPS |
