Micro-Star International Co., Ltd. MS-7D27
Geekbench AI Score
31582
Single Precision Score
34991
Half Precision Score
24440
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Havok970 |
| Upload Date | November 12 2024 01:21 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D27 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690 ACE (MS-7D27) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13226
2.46 KIPS |
|
|
Image Classification (HP)
|
100% |
14385
2.68 KIPS |
|
|
Image Classification (Q)
|
100% |
12017
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13228
214.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13880
225.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11879
193.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
263150
307.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
339578
396.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
228921
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
16843
1.34 KIPS |
|
|
Object Detection (HP)
|
99% |
16103
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
13378
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
38336
455.5 IPS |
|
|
Face Detection (HP)
|
100% |
41575
494.0 IPS |
|
|
Face Detection (Q)
|
97% |
33226
396.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
77581
597.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
90333
696.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
58883
474.7 IPS |
|
|
Style Transfer (SP)
|
100% |
428493
550.8 IPS |
|
|
Style Transfer (HP)
|
100% |
601916
773.8 IPS |
|
|
Style Transfer (Q)
|
98% |
384787
496.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52887
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60782
2.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38259
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4738
6.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4605
6.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2921
3.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3987
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3983
68.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2068
46.1 IPS |
