Generic
Geekbench AI Score
1579
Single Precision Score
1579
Half Precision Score
2271
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | February 26 2025 02:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-3930K CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Generic |
| Motherboard | ASRock X79 Extreme11 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3930K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
799
148.6 IPS |
|
|
Image Classification (HP)
|
100% |
804
149.6 IPS |
|
|
Image Classification (Q)
|
100% |
1380
256.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1786
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1506
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1505
1.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
3399
3.99 IPS |
|
|
Object Detection (SP)
|
100% |
835
66.3 IPS |
|
|
Object Detection (HP)
|
100% |
844
67.0 IPS |
|
|
Object Detection (Q)
|
87% |
1430
114.7 IPS |
|
|
Face Detection (SP)
|
100% |
2853
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
2856
33.9 IPS |
|
|
Face Detection (Q)
|
97% |
4156
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2801
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2794
21.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
4052
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4534
5.83 IPS |
|
|
Style Transfer (HP)
|
100% |
4534
5.83 IPS |
|
|
Style Transfer (Q)
|
98% |
10173
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1296
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2031
75.2 IPS |
|
|
Text Classification (SP)
|
100% |
1243
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1242
1.66 KIPS |
|
|
Text Classification (Q)
|
91% |
707
950.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1242
21.4 IPS |
