Gigabyte Technology Co., Ltd. Z370 AORUS Gaming 7
Geekbench AI Score
3352
Single Precision Score
3229
Half Precision Score
5073
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | decim-al |
| Upload Date | December 27 2024 12:08 AM |
| Views | 3 |
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 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z370 AORUS Gaming 7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z370 AORUS Gaming 7 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
2032
377.9 IPS |
|
|
Image Classification (Q)
|
100% |
3199
595.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2033
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3570
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4680
5.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
4660
5.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
8921
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
2083
165.2 IPS |
|
|
Object Detection (HP)
|
100% |
2041
161.9 IPS |
|
|
Object Detection (Q)
|
87% |
3299
264.6 IPS |
|
|
Face Detection (SP)
|
100% |
3362
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3273
38.9 IPS |
|
|
Face Detection (Q)
|
97% |
8729
104.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5607
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5506
42.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
9241
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13507
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13172
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25064
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2637
97.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2619
96.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5074
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (Q)
|
91% |
1208
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2756
47.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2713
46.7 IPS |
