Gigabyte Technology Co., Ltd. B760M DS3H DDR4
Geekbench AI Score
4724
Single Precision Score
1452
Half Precision Score
7882
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jonb2501-A |
| Upload Date | September 14 2025 06:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M DS3H DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B760M DS3H DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900F |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| 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% |
4204
781.9 IPS |
|
|
Image Classification (HP)
|
100% |
570
106.0 IPS |
|
|
Image Classification (Q)
|
99% |
6550
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
973
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11464
186.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10269
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
3707
4.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
30757
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
3312
262.7 IPS |
|
|
Object Detection (HP)
|
100% |
675
53.6 IPS |
|
|
Object Detection (Q)
|
86% |
7314
587.8 IPS |
|
|
Face Detection (SP)
|
100% |
9561
113.6 IPS |
|
|
Face Detection (HP)
|
100% |
1462
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
9148
109.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10172
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1736
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16154
128.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21243
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10150
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16776
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3487
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1951
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5307
196.5 IPS |
|
|
Text Classification (SP)
|
100% |
1385
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1357
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2004
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3071
61.7 IPS |
