Mac Pro (Late 2019)
Geekbench AI Score
1038
Single Precision Score
800
Half Precision Score
500
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | December 28 2024 08:59 PM |
| Views | 15 |
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% |
466
86.7 IPS |
|
|
Image Classification (HP)
|
100% |
301
56.0 IPS |
|
|
Image Classification (Q)
|
96% |
157
29.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (Q)
|
99% |
292
4.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1717
2.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
1365
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
92% |
200
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (Q)
|
100% |
328
3.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
1626
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1468
11.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
793
6.20 IPS |
|
|
Style Transfer (SP)
|
100% |
6096
7.84 IPS |
|
|
Style Transfer (HP)
|
100% |
6454
8.30 IPS |
|
|
Style Transfer (Q)
|
96% |
3906
5.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
927
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
924
34.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
412
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
671
895.4 IPS |
|
|
Text Classification (HP)
|
100% |
369
493.0 IPS |
|
|
Text Classification (Q)
|
93% |
364
488.9 IPS |
|
|
Machine Translation (SP)
|
100% |
438
7.55 IPS |
|
|
Machine Translation (HP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (Q)
|
98% |
513
8.86 IPS |
