Micro-Star International Co., Ltd. MS-7B54
Geekbench AI Score
23153
Single Precision Score
25900
Half Precision Score
18360
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 10:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B54 |
| Motherboard | Micro-Star International Co., Ltd. Z370M MORTAR (MS-7B54) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8503
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
8200
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
7394
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11403
184.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11943
193.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11379
185.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
222557
259.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
302168
352.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
203698
238.7 IPS |
|
|
Object Detection (SP)
|
100% |
10338
820.0 IPS |
|
|
Object Detection (HP)
|
99% |
12007
952.4 IPS |
|
|
Object Detection (Q)
|
89% |
8929
715.1 IPS |
|
|
Face Detection (SP)
|
100% |
27868
331.1 IPS |
|
|
Face Detection (HP)
|
100% |
29834
354.5 IPS |
|
|
Face Detection (Q)
|
97% |
24730
294.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
65554
505.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
70665
544.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
51360
414.1 IPS |
|
|
Style Transfer (SP)
|
100% |
381172
490.0 IPS |
|
|
Style Transfer (HP)
|
100% |
471960
606.7 IPS |
|
|
Style Transfer (Q)
|
98% |
334305
431.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35853
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43377
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27055
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1715
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2447
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2769
47.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1444
32.2 IPS |
