ASUS System Product Name
Geekbench AI Score
3924
Single Precision Score
4010
Half Precision Score
5882
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | CronXPX |
| Upload Date | December 29 2024 01:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8700K CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS X APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2607
484.8 IPS |
|
|
Image Classification (HP)
|
100% |
2635
490.0 IPS |
|
|
Image Classification (Q)
|
100% |
3911
727.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2654
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2692
43.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4436
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4073
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4452
5.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
8142
9.55 IPS |
|
|
Object Detection (SP)
|
100% |
2528
200.5 IPS |
|
|
Object Detection (HP)
|
100% |
2585
205.1 IPS |
|
|
Object Detection (Q)
|
87% |
3990
320.0 IPS |
|
|
Face Detection (SP)
|
100% |
4625
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
4629
55.0 IPS |
|
|
Face Detection (Q)
|
97% |
10657
127.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6534
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6501
50.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
10782
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13200
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14007
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26976
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3052
112.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3135
115.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5784
214.2 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2710
3.62 KIPS |
|
|
Text Classification (Q)
|
91% |
1336
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3612
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3679
63.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3675
63.3 IPS |
