Generic
Geekbench AI Score
3271
Single Precision Score
3294
Half Precision Score
4669
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | splinefx |
| Upload Date | November 12 2025 12:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8700K CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z370 Extreme4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2041
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
2046
380.5 IPS |
|
|
Image Classification (Q)
|
100% |
3003
558.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2131
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3541
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4225
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4255
4.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
8039
9.43 IPS |
|
|
Object Detection (SP)
|
100% |
2035
161.4 IPS |
|
|
Object Detection (HP)
|
100% |
2042
162.0 IPS |
|
|
Object Detection (Q)
|
87% |
3238
259.7 IPS |
|
|
Face Detection (SP)
|
100% |
3533
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
3549
42.2 IPS |
|
|
Face Detection (Q)
|
97% |
8392
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5351
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5379
41.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
8424
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12331
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12488
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23214
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2532
93.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2525
93.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4711
174.5 IPS |
|
|
Text Classification (SP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2176
2.91 KIPS |
|
|
Text Classification (Q)
|
91% |
755
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3034
52.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3050
52.5 IPS |
