iPhone17,2
Geekbench AI Score
4479
Single Precision Score
32377
Half Precision Score
44571
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | EricExtreme |
| Upload Date | September 21 2024 12:08 AM |
| Views | 6 |
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% |
2007
373.1 IPS |
|
|
Image Classification (HP)
|
100% |
15270
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
21211
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14654
237.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18277
296.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8489
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
152993
178.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291689
341.9 IPS |
|
|
Object Detection (SP)
|
100% |
2117
167.9 IPS |
|
|
Object Detection (HP)
|
100% |
16425
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22352
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3603
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
40702
483.6 IPS |
|
|
Face Detection (Q)
|
100% |
54612
648.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7764
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95131
732.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160218
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23514
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246143
316.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302781
390.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5549
204.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50558
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84898
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4746
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4807
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9845
169.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11324
195.7 IPS |
