Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
12178
Single Precision Score
12796
Half Precision Score
9086
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | neocoretexxx |
| Upload Date | April 11 2025 01:20 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A750 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO H610M-E DDR4 (MS-7D48) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5475
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5389
1.00 KIPS |
|
|
Image Classification (Q)
|
99% |
4551
848.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8349
135.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13781
223.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7163
116.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
72641
84.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
78223
91.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
58801
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
6895
546.9 IPS |
|
|
Object Detection (HP)
|
99% |
7170
570.3 IPS |
|
|
Object Detection (Q)
|
85% |
5595
450.2 IPS |
|
|
Face Detection (SP)
|
100% |
18577
220.7 IPS |
|
|
Face Detection (HP)
|
100% |
18556
220.5 IPS |
|
|
Face Detection (Q)
|
97% |
14390
171.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28386
218.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
28581
220.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
22219
177.9 IPS |
|
|
Style Transfer (SP)
|
100% |
161148
207.2 IPS |
|
|
Style Transfer (HP)
|
100% |
148767
191.2 IPS |
|
|
Style Transfer (Q)
|
98% |
120702
155.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16470
608.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22537
832.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11612
430.0 IPS |
|
|
Text Classification (SP)
|
86% |
824
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
663
884.6 IPS |
|
|
Text Classification (Q)
|
84% |
617
836.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2719
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1294
24.3 IPS |
