Mac Pro (Late 2019)
Geekbench AI Score
883
Single Precision Score
682
Half Precision Score
468
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | rhall |
| Upload Date | September 10 2024 03:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3275M |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 32.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
449
83.4 IPS |
|
|
Image Classification (HP)
|
100% |
268
49.8 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
253
4.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
2858
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2693
3.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
1909
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
92% |
184
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
654
7.78 IPS |
|
|
Face Detection (Q)
|
100% |
291
3.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
1074
8.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
826
6.36 IPS |
|
|
Depth Estimation (Q)
|
86% |
553
4.32 IPS |
|
|
Style Transfer (SP)
|
100% |
4503
5.79 IPS |
|
|
Style Transfer (HP)
|
100% |
5757
7.40 IPS |
|
|
Style Transfer (Q)
|
96% |
3618
4.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
482
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
297
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
700
933.9 IPS |
|
|
Text Classification (HP)
|
100% |
389
518.6 IPS |
|
|
Text Classification (Q)
|
93% |
389
522.4 IPS |
|
|
Machine Translation (SP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (HP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (Q)
|
98% |
557
9.62 IPS |
