Mac Pro (Late 2019)
Geekbench AI Score
1034
Single Precision Score
797
Half Precision Score
499
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | January 04 2025 08:12 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3275M |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
470
87.4 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
292
4.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
3086
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1694
1.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
1363
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
506
40.1 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
92% |
201
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
797
9.47 IPS |
|
|
Face Detection (Q)
|
100% |
325
3.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
1612
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1478
11.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
790
6.17 IPS |
|
|
Style Transfer (SP)
|
100% |
6084
7.82 IPS |
|
|
Style Transfer (HP)
|
100% |
6442
8.28 IPS |
|
|
Style Transfer (Q)
|
96% |
3875
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
411
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
661
882.1 IPS |
|
|
Text Classification (HP)
|
100% |
365
487.8 IPS |
|
|
Text Classification (Q)
|
93% |
364
488.2 IPS |
|
|
Machine Translation (SP)
|
100% |
440
7.58 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.96 IPS |
|
|
Machine Translation (Q)
|
98% |
521
9.01 IPS |
