Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE
Geekbench AI Score
5656
Single Precision Score
5669
Half Precision Score
14086
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | rolkit |
| Upload Date | November 12 2024 08:49 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4261
792.5 IPS |
|
|
Image Classification (HP)
|
100% |
4179
777.2 IPS |
|
|
Image Classification (Q)
|
100% |
9819
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3912
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3898
63.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6927
112.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8528
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
8494
9.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
32318
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3917
310.7 IPS |
|
|
Object Detection (HP)
|
100% |
3992
316.7 IPS |
|
|
Object Detection (Q)
|
88% |
10593
849.1 IPS |
|
|
Face Detection (SP)
|
100% |
12515
148.7 IPS |
|
|
Face Detection (HP)
|
100% |
12548
149.1 IPS |
|
|
Face Detection (Q)
|
100% |
27396
325.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10772
83.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10686
82.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
28942
225.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25465
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25185
32.4 IPS |
|
|
Style Transfer (Q)
|
98% |
91466
117.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5174
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5211
192.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16548
612.8 IPS |
|
|
Text Classification (SP)
|
100% |
1341
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (Q)
|
92% |
4358
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2521
43.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2526
43.5 IPS |
