System manufacturer System Product Name
Geekbench AI Score
3729
Single Precision Score
3997
Half Precision Score
6253
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 03:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF Z390M-PRO GAMING (WI-FI) |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2271
422.4 IPS |
|
|
Image Classification (HP)
|
100% |
2414
448.8 IPS |
|
|
Image Classification (Q)
|
100% |
4662
866.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2545
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4725
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5945
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
6202
7.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
12283
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
2517
199.6 IPS |
|
|
Object Detection (HP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (Q)
|
87% |
4336
347.8 IPS |
|
|
Face Detection (SP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
3639
43.2 IPS |
|
|
Face Detection (Q)
|
97% |
11726
139.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6879
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6635
51.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
12304
97.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13663
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17019
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
32738
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3340
123.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3231
119.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7037
260.7 IPS |
|
|
Text Classification (SP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (Q)
|
91% |
793
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2929
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2901
50.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2957
50.9 IPS |
