Asus + Vega56eGPU System manufacturer System Product Name
Geekbench AI Score
2693
Single Precision Score
2692
Half Precision Score
3895
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Zztony |
| Upload Date | December 23 2024 07:17 AM |
| Views | 3 |
| Notes | Asus + Vega56eGPU |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7700 CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z270-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1635
304.1 IPS |
|
|
Image Classification (HP)
|
100% |
1645
305.9 IPS |
|
|
Image Classification (Q)
|
100% |
2424
450.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1641
26.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2595
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3270
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3274
3.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
5921
6.95 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (Q)
|
87% |
2452
196.7 IPS |
|
|
Face Detection (SP)
|
100% |
3446
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
3444
40.9 IPS |
|
|
Face Detection (Q)
|
97% |
6357
75.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4295
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4287
33.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
6601
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9534
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9547
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16692
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1959
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1951
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3490
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
1960
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (Q)
|
91% |
1370
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2666
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2639
45.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2632
45.3 IPS |
