Mac Pro (Late 2019)
Geekbench AI Score
1022
Single Precision Score
772
Half Precision Score
486
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 07 2025 01:17 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% |
466
86.6 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.8 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (Q)
|
99% |
281
4.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
3130
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1676
1.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
1356
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
92% |
197
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
1091
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
762
9.06 IPS |
|
|
Face Detection (Q)
|
100% |
316
3.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
1598
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1437
11.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
774
6.06 IPS |
|
|
Style Transfer (SP)
|
100% |
5976
7.68 IPS |
|
|
Style Transfer (HP)
|
100% |
6101
7.84 IPS |
|
|
Style Transfer (Q)
|
96% |
3651
4.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
919
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
900
33.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
402
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
671
895.3 IPS |
|
|
Text Classification (HP)
|
100% |
360
481.1 IPS |
|
|
Text Classification (Q)
|
93% |
360
482.6 IPS |
|
|
Machine Translation (SP)
|
100% |
411
7.08 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
98% |
497
8.58 IPS |
