Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
15114
Single Precision Score
26740
Half Precision Score
28035
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 15 2025 04:51 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 Insider Preview (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% |
6150
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10577
1.97 KIPS |
|
|
Image Classification (Q)
|
100% |
10439
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19118
309.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
30729
498.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31667
513.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
77946
91.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
241420
281.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
383145
448.6 IPS |
|
|
Object Detection (SP)
|
100% |
5910
468.8 IPS |
|
|
Object Detection (HP)
|
100% |
12855
1.02 KIPS |
|
|
Object Detection (Q)
|
88% |
12978
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
25965
308.5 IPS |
|
|
Face Detection (HP)
|
100% |
37448
445.0 IPS |
|
|
Face Detection (Q)
|
100% |
39353
467.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26977
207.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
65977
508.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
68724
534.2 IPS |
|
|
Style Transfer (SP)
|
100% |
203084
261.1 IPS |
|
|
Style Transfer (HP)
|
100% |
398514
512.3 IPS |
|
|
Style Transfer (Q)
|
98% |
487943
629.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19653
725.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31406
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31106
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2000
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1375
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3173
54.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3233
55.7 IPS |
