Apple Inc. MacPro7,1
Geekbench AI Score
15442
Single Precision Score
17325
Half Precision Score
11694
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 24 2025 04:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon Pro W6800X Duo |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Apple Inc. MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3275M |
| Topology | 1 Processor, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 384.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5343
993.6 IPS |
|
|
Image Classification (HP)
|
100% |
5297
985.0 IPS |
|
|
Image Classification (Q)
|
99% |
4638
865.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8869
143.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8724
141.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7583
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
125309
146.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
193373
225.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
103713
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
6472
513.4 IPS |
|
|
Object Detection (HP)
|
100% |
6131
486.3 IPS |
|
|
Object Detection (Q)
|
85% |
5548
446.4 IPS |
|
|
Face Detection (SP)
|
100% |
16151
191.9 IPS |
|
|
Face Detection (HP)
|
100% |
15970
189.8 IPS |
|
|
Face Detection (Q)
|
97% |
13646
162.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33474
257.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
37158
286.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
25096
201.1 IPS |
|
|
Style Transfer (SP)
|
100% |
229693
295.3 IPS |
|
|
Style Transfer (HP)
|
100% |
312586
401.8 IPS |
|
|
Style Transfer (Q)
|
98% |
179148
231.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31026
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32555
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19728
730.5 IPS |
|
|
Text Classification (SP)
|
100% |
1778
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2121
2.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1142
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2930
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1710
32.1 IPS |
