UHD 770 Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
2707
Single Precision Score
3807
Half Precision Score
5906
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | IMJI |
| Upload Date | November 29 2024 11:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1576
293.1 IPS |
|
|
Image Classification (HP)
|
100% |
2479
461.0 IPS |
|
|
Image Classification (Q)
|
99% |
3932
733.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3945
64.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4734
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4503
5.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
3280
3.83 IPS |
|
|
Pose Estimation (Q)
|
97% |
13486
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
98% |
2265
180.2 IPS |
|
|
Object Detection (Q)
|
90% |
3807
304.4 IPS |
|
|
Face Detection (SP)
|
100% |
5285
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
8062
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
10778
128.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5272
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8725
67.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
11825
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11750
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18031
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30457
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2080
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3325
122.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6544
242.4 IPS |
|
|
Text Classification (SP)
|
71% |
1132
1.64 KIPS |
|
|
Text Classification (HP)
|
71% |
1395
2.02 KIPS |
|
|
Text Classification (Q)
|
92% |
1418
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1499
25.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1501
25.9 IPS |
