Micro-Star International Co., Ltd. MS-7D27
Geekbench AI Score
29265
Single Precision Score
32124
Half Precision Score
22402
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Havok970 |
| Upload Date | January 23 2025 09:36 PM |
| Views | 20 |
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 |
| 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% |
12073
2.25 KIPS |
|
|
Image Classification (HP)
|
100% |
12587
2.34 KIPS |
|
|
Image Classification (Q)
|
99% |
10092
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16000
259.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14719
238.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14645
238.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
247565
288.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
327627
382.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
230773
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
15146
1.20 KIPS |
|
|
Object Detection (HP)
|
99% |
15303
1.21 KIPS |
|
|
Object Detection (Q)
|
87% |
12614
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
35379
420.4 IPS |
|
|
Face Detection (HP)
|
100% |
37780
448.9 IPS |
|
|
Face Detection (Q)
|
97% |
31805
379.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
72942
562.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84436
650.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
53321
427.3 IPS |
|
|
Style Transfer (SP)
|
100% |
412387
530.1 IPS |
|
|
Style Transfer (HP)
|
100% |
560204
720.1 IPS |
|
|
Style Transfer (Q)
|
98% |
363859
469.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46573
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54191
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32157
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3737
4.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3751
5.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2006
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3469
59.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1859
34.9 IPS |
