Mac Pro (Late 2019)
Geekbench AI Score
926
Single Precision Score
128
Half Precision Score
95
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | March 01 2025 10:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3275M |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| Model | Mac Pro (Late 2019) |
| Model ID | MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro7,1 |
| 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 | 768.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
396
73.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2869
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1642
1.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
1288
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
948
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
682
8.10 IPS |
|
|
Face Detection (Q)
|
100% |
287
3.42 IPS |
|
|
Depth Estimation (SP)
|
100% |
1510
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1352
10.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
725
5.67 IPS |
|
|
Style Transfer (SP)
|
100% |
5714
7.35 IPS |
|
|
Style Transfer (HP)
|
100% |
5902
7.59 IPS |
|
|
Style Transfer (Q)
|
96% |
3536
4.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
830
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
385
14.2 IPS |
|
|
Text Classification (SP)
|
100% |
616
822.6 IPS |
|
|
Text Classification (HP)
|
100% |
369
491.9 IPS |
|
|
Text Classification (Q)
|
93% |
363
486.9 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
98% |
453
7.83 IPS |
