Mac Pro (Late 2019)
Geekbench AI Score
1019
Single Precision Score
135
Half Precision Score
99
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | March 02 2025 01:54 AM |
| Views | 12 |
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% |
449
83.6 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3067
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1708
1.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
1351
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
772
9.17 IPS |
|
|
Face Detection (Q)
|
100% |
315
3.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
1595
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1445
11.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
760
5.95 IPS |
|
|
Style Transfer (SP)
|
100% |
6145
7.90 IPS |
|
|
Style Transfer (HP)
|
100% |
6375
8.20 IPS |
|
|
Style Transfer (Q)
|
96% |
3744
4.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
914
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
402
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
673
898.0 IPS |
|
|
Text Classification (HP)
|
100% |
374
499.3 IPS |
|
|
Text Classification (Q)
|
93% |
373
500.3 IPS |
|
|
Machine Translation (SP)
|
100% |
430
7.40 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (Q)
|
98% |
525
9.06 IPS |
