iPhone17,2
Geekbench AI Score
4545
Single Precision Score
32040
Half Precision Score
43911
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2000
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
15391
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
19615
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14670
237.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18250
295.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8891
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154324
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
292844
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2132
169.1 IPS |
|
|
Object Detection (HP)
|
100% |
16392
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22493
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3627
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
40823
485.1 IPS |
|
|
Face Detection (Q)
|
100% |
54825
651.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7989
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95129
732.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162060
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24376
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
247078
317.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303651
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5629
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51460
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84828
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3420
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4354
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4329
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3773
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9287
160.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11409
197.2 IPS |
