Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
14092
Single Precision Score
22101
Half Precision Score
23544
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 01:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D98 |
| Motherboard | Micro-Star International Co., Ltd. B760 GAMING PLUS WIFI (MS-7D98) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6005
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
8926
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
8828
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14040
227.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17680
286.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18720
303.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
72443
84.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
207480
242.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
323301
378.5 IPS |
|
|
Object Detection (SP)
|
100% |
5622
446.0 IPS |
|
|
Object Detection (HP)
|
100% |
10579
839.1 IPS |
|
|
Object Detection (Q)
|
88% |
10773
863.3 IPS |
|
|
Face Detection (SP)
|
100% |
26269
312.1 IPS |
|
|
Face Detection (HP)
|
100% |
36303
431.4 IPS |
|
|
Face Detection (Q)
|
100% |
37030
440.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26635
205.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
58706
452.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
59284
460.8 IPS |
|
|
Style Transfer (SP)
|
100% |
192594
247.6 IPS |
|
|
Style Transfer (HP)
|
100% |
305600
392.9 IPS |
|
|
Style Transfer (Q)
|
98% |
376792
485.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19135
706.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27211
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27550
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1873
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1721
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
1527
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1863
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2632
45.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2614
45.0 IPS |
