System manufacturer System Product Name
Geekbench AI Score
3664
Single Precision Score
1447
Half Precision Score
4368
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 07:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z370-P |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900KF |
| 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% |
3202
595.5 IPS |
|
|
Image Classification (HP)
|
100% |
476
88.5 IPS |
|
|
Image Classification (Q)
|
96% |
4268
797.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
775
12.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2282
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6740
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4846
5.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
10031
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
2924
231.9 IPS |
|
|
Object Detection (HP)
|
100% |
617
49.0 IPS |
|
|
Object Detection (Q)
|
58% |
2887
315.4 IPS |
|
|
Face Detection (SP)
|
100% |
4346
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (Q)
|
96% |
7082
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8512
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1932
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9457
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14320
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12458
16.0 IPS |
|
|
Style Transfer (Q)
|
87% |
15487
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2686
99.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2234
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2878
106.6 IPS |
|
|
Text Classification (SP)
|
100% |
1593
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1313
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1909
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2292
44.3 IPS |
