Apple Inc. MacPro7,1
Geekbench AI Score
23666
Single Precision Score
25138
Half Precision Score
17414
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | coorelle |
| Upload Date | March 14 2026 06:19 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 | 224.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9877
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
9542
1.77 KIPS |
|
|
Image Classification (Q)
|
99% |
7884
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14208
230.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12264
198.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12083
196.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
182158
212.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
253172
295.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
148765
174.3 IPS |
|
|
Object Detection (SP)
|
100% |
10144
804.6 IPS |
|
|
Object Detection (HP)
|
100% |
10367
822.3 IPS |
|
|
Object Detection (Q)
|
87% |
8440
677.8 IPS |
|
|
Face Detection (SP)
|
100% |
28110
334.0 IPS |
|
|
Face Detection (HP)
|
100% |
30142
358.2 IPS |
|
|
Face Detection (Q)
|
97% |
22879
272.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
57855
445.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
62601
482.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
43100
346.1 IPS |
|
|
Style Transfer (SP)
|
100% |
313379
402.9 IPS |
|
|
Style Transfer (HP)
|
100% |
400574
514.9 IPS |
|
|
Style Transfer (Q)
|
98% |
245103
316.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36690
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42187
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25266
935.5 IPS |
|
|
Text Classification (SP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3127
4.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1807
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3291
56.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1943
36.4 IPS |
