Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
15417
Single Precision Score
28062
Half Precision Score
29418
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 09:16 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% |
6455
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
10910
2.03 KIPS |
|
|
Image Classification (Q)
|
100% |
10947
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19440
315.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
30999
502.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32828
532.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
77109
90.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
244818
285.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
389676
456.2 IPS |
|
|
Object Detection (SP)
|
100% |
5976
474.0 IPS |
|
|
Object Detection (HP)
|
100% |
13159
1.04 KIPS |
|
|
Object Detection (Q)
|
88% |
13777
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
28554
339.3 IPS |
|
|
Face Detection (HP)
|
100% |
45459
540.1 IPS |
|
|
Face Detection (Q)
|
100% |
47701
566.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27074
208.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
67796
522.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
68164
529.9 IPS |
|
|
Style Transfer (SP)
|
100% |
199281
256.2 IPS |
|
|
Style Transfer (HP)
|
100% |
384191
493.9 IPS |
|
|
Style Transfer (Q)
|
98% |
481299
620.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19820
731.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32136
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32195
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
1959
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1933
2.58 KIPS |
|
|
Text Classification (Q)
|
92% |
1297
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2194
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3779
65.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3851
66.3 IPS |
