PC with i9900k / RTX4090 Generic
Geekbench AI Score
4446
Single Precision Score
4448
Half Precision Score
6497
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mvodya |
| Upload Date | February 03 2025 08:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-9900K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z390 Taichi |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2670
496.5 IPS |
|
|
Image Classification (HP)
|
100% |
2802
521.0 IPS |
|
|
Image Classification (Q)
|
100% |
4399
818.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3033
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3044
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4795
78.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6495
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
6499
7.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
12579
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (HP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (Q)
|
87% |
4396
352.5 IPS |
|
|
Face Detection (SP)
|
100% |
4140
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
4078
48.5 IPS |
|
|
Face Detection (Q)
|
97% |
11664
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7681
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7715
59.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
12392
97.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18789
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18798
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35235
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3644
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3564
131.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6999
259.2 IPS |
|
|
Text Classification (SP)
|
100% |
2918
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (Q)
|
91% |
961
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3339
57.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3355
57.8 IPS |
