Mac M4 Bonus edition Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
40039
Single Precision Score
67641
Half Precision Score
30170
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | xap09 |
| Upload Date | May 26 2025 02:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15241
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
22349
4.16 KIPS |
|
|
Image Classification (Q)
|
100% |
13433
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32275
523.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
49178
797.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
29672
482.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
254247
296.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
763044
890.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
215479
252.4 IPS |
|
|
Object Detection (SP)
|
100% |
20784
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
32516
2.58 KIPS |
|
|
Object Detection (Q)
|
86% |
17795
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
62163
738.6 IPS |
|
|
Face Detection (HP)
|
100% |
90585
1.08 KIPS |
|
|
Face Detection (Q)
|
97% |
50287
599.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
95137
733.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
180622
1.39 KIPS |
|
|
Depth Estimation (Q)
|
78% |
70096
559.8 IPS |
|
|
Style Transfer (SP)
|
100% |
373020
479.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1233370
1.59 KIPS |
|
|
Style Transfer (Q)
|
98% |
324751
418.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59788
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92147
3.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44114
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3801
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4852
6.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2422
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
8126
140.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8150
140.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3343
62.7 IPS |
