Micro-Star International Co., Ltd. MS-7C77
Geekbench AI Score
16726
Single Precision Score
25908
Half Precision Score
11672
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fenom |
| Upload Date | October 26 2025 12:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C77 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z490I UNIFY (MS-7C77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700F |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7963
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
9977
1.86 KIPS |
|
|
Image Classification (Q)
|
100% |
6173
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10980
178.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13153
213.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8793
143.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
49580
57.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
215178
251.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
43602
51.1 IPS |
|
|
Object Detection (SP)
|
100% |
9923
787.1 IPS |
|
|
Object Detection (HP)
|
100% |
12951
1.03 KIPS |
|
|
Object Detection (Q)
|
87% |
8085
648.9 IPS |
|
|
Face Detection (SP)
|
100% |
22374
265.8 IPS |
|
|
Face Detection (HP)
|
100% |
28598
339.8 IPS |
|
|
Face Detection (Q)
|
97% |
16743
199.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
57880
445.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87247
672.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
33767
270.6 IPS |
|
|
Style Transfer (SP)
|
100% |
182883
235.1 IPS |
|
|
Style Transfer (HP)
|
100% |
460363
591.8 IPS |
|
|
Style Transfer (Q)
|
98% |
124353
160.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27937
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46134
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15002
555.5 IPS |
|
|
Text Classification (SP)
|
100% |
2675
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (Q)
|
97% |
1628
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2361
40.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1429
26.8 IPS |
