AMD Radeon RX 6750 GRE 12GB MAXSUN MS-Terminator B650M
Geekbench AI Score
22707
Single Precision Score
24060
Half Precision Score
17140
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 98Fengyu |
| Upload Date | December 23 2025 06:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6750 GRE 12GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | MAXSUN MS-Terminator B650M |
| Motherboard | MAXSUN MS-Terminator B650M |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9325
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
8495
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
8130
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16700
270.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12156
197.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13379
217.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
125603
146.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
194417
226.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
105175
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
10564
837.9 IPS |
|
|
Object Detection (HP)
|
100% |
8379
664.6 IPS |
|
|
Object Detection (Q)
|
87% |
9085
729.7 IPS |
|
|
Face Detection (SP)
|
100% |
31959
379.7 IPS |
|
|
Face Detection (HP)
|
100% |
35453
421.3 IPS |
|
|
Face Detection (Q)
|
97% |
24635
293.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
52385
403.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
59122
455.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
39417
316.5 IPS |
|
|
Style Transfer (SP)
|
100% |
221571
284.8 IPS |
|
|
Style Transfer (HP)
|
100% |
278242
357.7 IPS |
|
|
Style Transfer (Q)
|
98% |
177874
229.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36304
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42226
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25388
940.1 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2641
3.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1616
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5693
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5944
102.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2972
55.7 IPS |
