System manufacturer System Product Name
Geekbench AI Score
6498
Single Precision Score
6575
Half Precision Score
4709
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Zztony |
| Upload Date | December 23 2024 07:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| 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% |
2481
461.4 IPS |
|
|
Image Classification (HP)
|
100% |
2776
516.3 IPS |
|
|
Image Classification (Q)
|
100% |
2072
385.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3153
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3210
52.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2640
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
49060
57.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
49360
57.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
37770
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
2992
237.4 IPS |
|
|
Object Detection (HP)
|
100% |
2793
221.5 IPS |
|
|
Object Detection (Q)
|
88% |
2457
197.0 IPS |
|
|
Face Detection (SP)
|
100% |
8405
99.9 IPS |
|
|
Face Detection (HP)
|
100% |
9910
117.8 IPS |
|
|
Face Detection (Q)
|
97% |
6419
76.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16572
127.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17750
137.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
11925
95.6 IPS |
|
|
Style Transfer (SP)
|
100% |
68798
88.4 IPS |
|
|
Style Transfer (HP)
|
100% |
72534
93.2 IPS |
|
|
Style Transfer (Q)
|
98% |
53427
68.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10310
380.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10693
394.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6602
244.5 IPS |
|
|
Text Classification (SP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
658
878.8 IPS |
|
|
Text Classification (Q)
|
97% |
540
723.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1370
23.7 IPS |
|
|
Machine Translation (Q)
|
70% |
725
13.6 IPS |
