iPhone17,2
Geekbench AI Score
4082
Single Precision Score
31846
Half Precision Score
44419
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 03:08 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1943
361.3 IPS |
|
|
Image Classification (HP)
|
100% |
15239
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19926
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18188
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24050
389.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7401
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
134436
156.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
286029
335.2 IPS |
|
|
Object Detection (SP)
|
100% |
1955
155.1 IPS |
|
|
Object Detection (HP)
|
100% |
16129
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22196
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
41167
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
57667
685.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6718
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94072
724.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
158368
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20186
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
241405
310.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301964
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4759
175.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47594
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78284
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4367
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4472
6.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9190
158.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10182
175.9 IPS |
