Apple Inc. MacPro7,1
Geekbench AI Score
23588
Single Precision Score
25691
Half Precision Score
17279
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | March 10 2026 10:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Apple Inc. MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3275 |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10337
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
9699
1.80 KIPS |
|
|
Image Classification (Q)
|
99% |
8176
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13651
221.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12213
198.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12335
200.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
175481
204.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
257694
300.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
142382
166.8 IPS |
|
|
Object Detection (SP)
|
100% |
10400
824.9 IPS |
|
|
Object Detection (HP)
|
100% |
10687
847.7 IPS |
|
|
Object Detection (Q)
|
87% |
8379
673.0 IPS |
|
|
Face Detection (SP)
|
100% |
28531
339.0 IPS |
|
|
Face Detection (HP)
|
100% |
30806
366.0 IPS |
|
|
Face Detection (Q)
|
97% |
23427
279.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
60043
462.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
62448
481.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
43500
349.3 IPS |
|
|
Style Transfer (SP)
|
100% |
316105
406.4 IPS |
|
|
Style Transfer (HP)
|
100% |
396788
510.1 IPS |
|
|
Style Transfer (Q)
|
98% |
241757
311.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37450
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42291
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25611
948.3 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3132
4.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1572
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3798
65.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1989
37.3 IPS |
