ASUS System Product Name
Geekbench AI Score
7387
Single Precision Score
7401
Half Precision Score
16254
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 22 2024 02:24 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4397
817.7 IPS |
|
|
Image Classification (HP)
|
100% |
4491
835.3 IPS |
|
|
Image Classification (Q)
|
100% |
10112
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6030
97.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6007
97.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10261
166.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13416
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13468
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
34295
40.2 IPS |
|
|
Object Detection (SP)
|
100% |
4088
324.3 IPS |
|
|
Object Detection (HP)
|
100% |
4093
324.7 IPS |
|
|
Object Detection (Q)
|
88% |
11453
918.1 IPS |
|
|
Face Detection (SP)
|
100% |
13480
160.2 IPS |
|
|
Face Detection (HP)
|
100% |
13401
159.2 IPS |
|
|
Face Detection (Q)
|
100% |
27756
329.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13084
100.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13111
101.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
31055
241.5 IPS |
|
|
Style Transfer (SP)
|
100% |
39687
51.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39987
51.4 IPS |
|
|
Style Transfer (Q)
|
98% |
95383
123.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6176
228.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6167
227.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19258
713.2 IPS |
|
|
Text Classification (SP)
|
100% |
2028
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2011
2.68 KIPS |
|
|
Text Classification (Q)
|
92% |
5202
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3800
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3806
65.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3835
66.1 IPS |
