iPhone17,2
Geekbench AI Score
4523
Single Precision Score
33085
Half Precision Score
45831
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 04:52 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
15296
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20782
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18321
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24117
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8914
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154461
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294459
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
16297
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22519
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
42051
499.7 IPS |
|
|
Face Detection (Q)
|
100% |
58133
690.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7819
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95338
734.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160725
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23547
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245520
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303375
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5674
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50191
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84561
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4835
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4508
6.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9328
160.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11388
196.8 IPS |
