Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
21422
Single Precision Score
36156
Half Precision Score
38837
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 06:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI DDR4 (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10915
2.03 KIPS |
|
|
Image Classification (HP)
|
100% |
15639
2.91 KIPS |
|
|
Image Classification (Q)
|
100% |
16739
3.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18420
298.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23830
386.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24525
397.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
84605
98.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
312370
364.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
527951
618.1 IPS |
|
|
Object Detection (SP)
|
100% |
9888
784.3 IPS |
|
|
Object Detection (HP)
|
100% |
17205
1.36 KIPS |
|
|
Object Detection (Q)
|
88% |
18039
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
31350
372.5 IPS |
|
|
Face Detection (HP)
|
100% |
43725
519.5 IPS |
|
|
Face Detection (Q)
|
100% |
45761
543.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
59176
455.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
115007
886.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
132452
1.03 KIPS |
|
|
Style Transfer (SP)
|
100% |
190203
244.5 IPS |
|
|
Style Transfer (HP)
|
100% |
498433
640.7 IPS |
|
|
Style Transfer (Q)
|
98% |
555607
716.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29491
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63458
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57888
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3450
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (Q)
|
92% |
2907
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3538
60.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3524
60.7 IPS |
