ASUS System Product Name
Geekbench AI Score
6603
Single Precision Score
6269
Half Precision Score
14091
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 07:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KS |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4104
763.2 IPS |
|
|
Image Classification (HP)
|
100% |
4069
756.8 IPS |
|
|
Image Classification (Q)
|
100% |
9219
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5349
86.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5472
88.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9917
160.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8038
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
8154
9.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
29546
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
3789
300.6 IPS |
|
|
Object Detection (HP)
|
100% |
3822
303.1 IPS |
|
|
Object Detection (Q)
|
88% |
9955
798.0 IPS |
|
|
Face Detection (SP)
|
100% |
10519
125.0 IPS |
|
|
Face Detection (HP)
|
100% |
10703
127.2 IPS |
|
|
Face Detection (Q)
|
100% |
23295
276.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9782
75.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9934
76.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
25236
196.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23127
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14009
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
46109
59.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5114
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4546
167.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15760
583.6 IPS |
|
|
Text Classification (SP)
|
100% |
3769
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3809
5.08 KIPS |
|
|
Text Classification (Q)
|
92% |
5380
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5139
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5246
90.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4995
86.0 IPS |
