ASUS System Product Name
Geekbench AI Score
8365
Single Precision Score
8384
Half Precision Score
17846
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 06:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900KS |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5002
930.1 IPS |
|
|
Image Classification (HP)
|
100% |
5003
930.4 IPS |
|
|
Image Classification (Q)
|
100% |
11218
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6561
106.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6601
107.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11160
180.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15065
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15042
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
39947
46.8 IPS |
|
|
Object Detection (SP)
|
100% |
4715
374.0 IPS |
|
|
Object Detection (HP)
|
100% |
4713
373.8 IPS |
|
|
Object Detection (Q)
|
88% |
12180
976.4 IPS |
|
|
Face Detection (SP)
|
100% |
15609
185.5 IPS |
|
|
Face Detection (HP)
|
100% |
15645
185.9 IPS |
|
|
Face Detection (Q)
|
100% |
31033
368.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14926
115.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14912
114.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
34262
266.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43978
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
44082
56.7 IPS |
|
|
Style Transfer (Q)
|
98% |
109870
141.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7116
262.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7105
262.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20381
754.8 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (Q)
|
92% |
5388
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4204
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4202
72.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4194
72.2 IPS |
