Micro-Star International Co., Ltd. MS-7D98
Geekbench AI Score
15254
Single Precision Score
27107
Half Precision Score
28394
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 03:40 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% |
6384
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
10844
2.02 KIPS |
|
|
Image Classification (Q)
|
100% |
10825
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19290
312.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
30941
501.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31805
515.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
76799
89.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
238838
278.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
386980
453.1 IPS |
|
|
Object Detection (SP)
|
100% |
6084
482.6 IPS |
|
|
Object Detection (HP)
|
100% |
13348
1.06 KIPS |
|
|
Object Detection (Q)
|
88% |
13404
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
25614
304.4 IPS |
|
|
Face Detection (HP)
|
100% |
38721
460.1 IPS |
|
|
Face Detection (Q)
|
100% |
39459
468.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27151
209.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
65082
501.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
66980
520.7 IPS |
|
|
Style Transfer (SP)
|
100% |
199834
256.9 IPS |
|
|
Style Transfer (HP)
|
100% |
397400
510.9 IPS |
|
|
Style Transfer (Q)
|
98% |
489996
631.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19835
732.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31669
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32015
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2056
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1941
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
1419
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3253
56.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3242
55.8 IPS |
