Generic
Geekbench AI Score
4138
Single Precision Score
4184
Half Precision Score
6194
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alf007 |
| Upload Date | March 20 2025 10:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700 CPU @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z390 Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2565
477.0 IPS |
|
|
Image Classification (HP)
|
100% |
2755
512.4 IPS |
|
|
Image Classification (Q)
|
100% |
4594
854.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2571
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2572
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4899
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6476
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
6180
7.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
11537
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2607
206.8 IPS |
|
|
Object Detection (HP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (Q)
|
87% |
4393
352.3 IPS |
|
|
Face Detection (SP)
|
100% |
3813
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
3851
45.8 IPS |
|
|
Face Detection (Q)
|
97% |
11640
138.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7284
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7224
55.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
9368
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14154
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17236
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34997
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3483
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3259
120.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6901
255.6 IPS |
|
|
Text Classification (SP)
|
100% |
2881
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (Q)
|
91% |
868
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3189
54.9 IPS |
