Mac Pro (Late 2019)
Geekbench AI Score
1011
Single Precision Score
777
Half Precision Score
481
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 04 2025 01:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3275M |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
451
83.9 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.3 IPS |
|
|
Image Classification (Q)
|
96% |
150
28.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
277
4.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
3097
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1694
1.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
1351
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (Q)
|
92% |
200
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
1111
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
785
9.32 IPS |
|
|
Face Detection (Q)
|
100% |
320
3.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
1607
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1443
11.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
765
5.98 IPS |
|
|
Style Transfer (SP)
|
100% |
5996
7.71 IPS |
|
|
Style Transfer (HP)
|
100% |
6218
7.99 IPS |
|
|
Style Transfer (Q)
|
96% |
3737
4.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
887
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
638
851.9 IPS |
|
|
Text Classification (HP)
|
100% |
364
485.7 IPS |
|
|
Text Classification (Q)
|
93% |
358
481.0 IPS |
|
|
Machine Translation (SP)
|
100% |
414
7.14 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (Q)
|
98% |
462
7.98 IPS |
