Micro-Star International Co., Ltd. MS-7D85
Geekbench AI Score
15384
Single Precision Score
26713
Half Precision Score
27719
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | September 16 2025 10:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D85 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 GODLIKE (MS-7D85) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6452
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
10840
2.02 KIPS |
|
|
Image Classification (Q)
|
100% |
10719
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16029
259.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24118
391.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24867
403.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
85637
99.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
250802
292.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
387945
454.2 IPS |
|
|
Object Detection (SP)
|
100% |
6009
476.7 IPS |
|
|
Object Detection (HP)
|
100% |
12869
1.02 KIPS |
|
|
Object Detection (Q)
|
88% |
12914
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
25046
297.6 IPS |
|
|
Face Detection (HP)
|
100% |
36351
431.9 IPS |
|
|
Face Detection (Q)
|
100% |
37041
440.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28215
217.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
70591
543.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
70609
548.9 IPS |
|
|
Style Transfer (SP)
|
100% |
218537
280.9 IPS |
|
|
Style Transfer (HP)
|
100% |
404515
520.0 IPS |
|
|
Style Transfer (Q)
|
98% |
497650
641.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20658
762.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33206
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33125
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2094
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
1515
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1998
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3038
52.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3070
52.9 IPS |
