A6000 x16 ECC on - DSP: 19.80 T/sec Generic
Geekbench AI Score
17660
Single Precision Score
24128
Half Precision Score
11752
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | krofa |
| Upload Date | March 02 2025 03:00 AM |
| Views | 8 |
| Notes | qwen2.5-32b-q4 - 8K ctx |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A6000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X79 Professional |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1680 v2 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7071
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
8852
1.65 KIPS |
|
|
Image Classification (Q)
|
100% |
5199
966.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
8076
130.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9358
151.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6673
108.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
155230
181.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
279873
326.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
115088
134.8 IPS |
|
|
Object Detection (SP)
|
100% |
9084
720.6 IPS |
|
|
Object Detection (HP)
|
100% |
11495
911.8 IPS |
|
|
Object Detection (Q)
|
85% |
6602
531.1 IPS |
|
|
Face Detection (SP)
|
100% |
18734
222.6 IPS |
|
|
Face Detection (HP)
|
100% |
23661
281.1 IPS |
|
|
Face Detection (Q)
|
97% |
14382
171.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
54088
416.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
83583
644.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
33609
268.9 IPS |
|
|
Style Transfer (SP)
|
100% |
238612
306.7 IPS |
|
|
Style Transfer (HP)
|
100% |
496052
637.7 IPS |
|
|
Style Transfer (Q)
|
98% |
170990
220.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32324
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44212
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19043
705.1 IPS |
|
|
Text Classification (SP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (HP)
|
99% |
2686
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1120
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2185
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1082
20.3 IPS |
