Acidanthera MacPro7,1
Geekbench AI Score
12016
Single Precision Score
14156
Half Precision Score
9417
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | DemonShell |
| Upload Date | March 12 2025 09:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Acidanthera MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7820X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5314
988.2 IPS |
|
|
Image Classification (HP)
|
100% |
5680
1.06 KIPS |
|
|
Image Classification (Q)
|
100% |
4669
868.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6895
111.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5694
92.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5954
96.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
73727
86.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
121473
141.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
62287
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
4257
337.7 IPS |
|
|
Object Detection (HP)
|
100% |
5706
452.6 IPS |
|
|
Object Detection (Q)
|
89% |
3864
309.2 IPS |
|
|
Face Detection (SP)
|
100% |
13643
162.1 IPS |
|
|
Face Detection (HP)
|
100% |
16058
190.8 IPS |
|
|
Face Detection (Q)
|
97% |
10547
125.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33165
255.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
40236
310.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
25180
203.0 IPS |
|
|
Style Transfer (SP)
|
100% |
144322
185.5 IPS |
|
|
Style Transfer (HP)
|
100% |
185292
238.2 IPS |
|
|
Style Transfer (Q)
|
98% |
119241
153.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24033
887.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29108
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17020
630.2 IPS |
|
|
Text Classification (SP)
|
100% |
2149
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1353
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1704
29.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1125
25.1 IPS |
