Mac Pro (Late 2019)
Geekbench AI Score
991
Single Precision Score
764
Half Precision Score
478
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 14 2025 07:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3275M |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
441
81.9 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.8 IPS |
|
|
Image Classification (Q)
|
96% |
152
28.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.93 IPS |
|
|
Image Segmentation (Q)
|
99% |
278
4.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
3073
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1661
1.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
1326
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
486
38.5 IPS |
|
|
Object Detection (HP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
92% |
195
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
747
8.87 IPS |
|
|
Face Detection (Q)
|
100% |
309
3.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
1540
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1406
10.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
759
5.94 IPS |
|
|
Style Transfer (SP)
|
100% |
5907
7.59 IPS |
|
|
Style Transfer (HP)
|
100% |
6134
7.89 IPS |
|
|
Style Transfer (Q)
|
96% |
3706
4.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
907
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
647
863.7 IPS |
|
|
Text Classification (HP)
|
100% |
357
476.8 IPS |
|
|
Text Classification (Q)
|
93% |
358
480.4 IPS |
|
|
Machine Translation (SP)
|
100% |
386
6.65 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (Q)
|
98% |
463
8.01 IPS |
