MB PRO600-SF110
Geekbench AI Score
3851
Single Precision Score
1423
Half Precision Score
6800
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 08:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MB PRO600-SF110 |
| Motherboard | MB PRO600-SF110 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2975
553.2 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.1 IPS |
|
|
Image Classification (Q)
|
99% |
6655
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
682
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3189
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7741
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
5832
6.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
25571
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
2913
231.1 IPS |
|
|
Object Detection (HP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (Q)
|
86% |
7289
585.8 IPS |
|
|
Face Detection (SP)
|
100% |
6207
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
9206
109.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8196
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2171
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14759
117.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17332
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14313
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26621
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2161
79.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1847
68.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3201
118.5 IPS |
|
|
Text Classification (SP)
|
100% |
1182
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
579
772.3 IPS |
|
|
Text Classification (Q)
|
97% |
1174
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3937
79.1 IPS |
