Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX
Geekbench AI Score
19033
Single Precision Score
35087
Half Precision Score
14630
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | August 19 2025 03:04 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B760M AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7724
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
14999
2.79 KIPS |
|
|
Image Classification (Q)
|
99% |
7070
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13316
215.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20010
324.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12159
197.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
95974
112.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
300583
350.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
81428
95.4 IPS |
|
|
Object Detection (SP)
|
100% |
9887
784.2 IPS |
|
|
Object Detection (HP)
|
100% |
16897
1.34 KIPS |
|
|
Object Detection (Q)
|
83% |
8530
689.2 IPS |
|
|
Face Detection (SP)
|
100% |
23127
274.8 IPS |
|
|
Face Detection (HP)
|
100% |
39622
470.8 IPS |
|
|
Face Detection (Q)
|
97% |
21341
254.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
46062
354.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97042
747.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
36461
291.5 IPS |
|
|
Style Transfer (SP)
|
100% |
149124
191.7 IPS |
|
|
Style Transfer (HP)
|
100% |
509743
655.3 IPS |
|
|
Style Transfer (Q)
|
98% |
125465
161.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27165
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49423
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21090
780.9 IPS |
|
|
Text Classification (SP)
|
100% |
3478
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4269
5.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2179
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4261
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4487
77.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1677
31.5 IPS |
