Micro Computer (HK) Tech Limited AtomMan G Series
Geekbench AI Score
17923
Single Precision Score
21900
Half Precision Score
14986
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | etheus |
| Upload Date | February 21 2025 06:17 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600M XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AtomMan G Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRBAA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8974
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
10755
2.00 KIPS |
|
|
Image Classification (Q)
|
100% |
8246
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10362
168.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8862
143.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9457
153.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
98469
114.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
154187
179.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
87536
102.5 IPS |
|
|
Object Detection (SP)
|
100% |
7042
558.6 IPS |
|
|
Object Detection (HP)
|
99% |
11224
890.3 IPS |
|
|
Object Detection (Q)
|
87% |
6644
533.6 IPS |
|
|
Face Detection (SP)
|
100% |
21235
252.3 IPS |
|
|
Face Detection (HP)
|
100% |
26407
313.8 IPS |
|
|
Face Detection (Q)
|
97% |
19533
232.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
50208
386.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
61341
472.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
40441
324.3 IPS |
|
|
Style Transfer (SP)
|
100% |
175589
225.7 IPS |
|
|
Style Transfer (HP)
|
100% |
260258
334.6 IPS |
|
|
Style Transfer (Q)
|
98% |
152633
196.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30070
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37369
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23799
881.3 IPS |
|
|
Text Classification (SP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2405
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2647
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2851
49.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1826
34.3 IPS |
