Generic
Geekbench AI Score
1502
Single Precision Score
1505
Half Precision Score
2225
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | May 11 2025 04:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4930K CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Generic |
| Motherboard | ASRock X79 Extreme11 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4930K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
755
140.3 IPS |
|
|
Image Classification (HP)
|
100% |
757
140.8 IPS |
|
|
Image Classification (Q)
|
100% |
1398
259.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1816
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1437
1.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1437
1.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
3244
3.80 IPS |
|
|
Object Detection (SP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (HP)
|
100% |
796
63.2 IPS |
|
|
Object Detection (Q)
|
87% |
1443
115.7 IPS |
|
|
Face Detection (SP)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2752
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
4187
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2667
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2664
20.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
3908
30.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4255
5.47 IPS |
|
|
Style Transfer (HP)
|
100% |
4258
5.47 IPS |
|
|
Style Transfer (Q)
|
98% |
9701
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1234
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1233
45.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1960
72.6 IPS |
|
|
Text Classification (SP)
|
100% |
1157
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1174
1.57 KIPS |
|
|
Text Classification (Q)
|
91% |
656
881.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1228
21.2 IPS |
