ASUS System Product Name
Geekbench AI Score
7447
Single Precision Score
7443
Half Precision Score
16239
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 22 2024 02:18 AM |
| Views | 19 |
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% |
4499
836.8 IPS |
|
|
Image Classification (HP)
|
100% |
4514
839.5 IPS |
|
|
Image Classification (Q)
|
100% |
10233
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6048
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6007
97.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9878
160.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13413
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13386
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
34266
40.1 IPS |
|
|
Object Detection (SP)
|
100% |
4092
324.5 IPS |
|
|
Object Detection (HP)
|
100% |
4041
320.5 IPS |
|
|
Object Detection (Q)
|
88% |
11312
906.8 IPS |
|
|
Face Detection (SP)
|
100% |
13609
161.7 IPS |
|
|
Face Detection (HP)
|
100% |
13618
161.8 IPS |
|
|
Face Detection (Q)
|
100% |
28426
337.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13046
100.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12978
100.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
31200
242.6 IPS |
|
|
Style Transfer (SP)
|
100% |
39944
51.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39838
51.2 IPS |
|
|
Style Transfer (Q)
|
98% |
96234
124.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6170
227.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6184
228.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19293
714.5 IPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (Q)
|
92% |
5221
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3830
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3682
63.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3788
65.3 IPS |
