Mac Pro (Late 2019)
Geekbench AI Score
972
Single Precision Score
133
Half Precision Score
98
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | March 02 2025 03:45 AM |
| Views | 19 |
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% |
404
75.1 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2974
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1690
1.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
1333
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1060
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
757
8.99 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1534
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1371
10.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
741
5.80 IPS |
|
|
Style Transfer (SP)
|
100% |
6074
7.81 IPS |
|
|
Style Transfer (HP)
|
100% |
6408
8.24 IPS |
|
|
Style Transfer (Q)
|
96% |
3755
4.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
901
33.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
911
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
395
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
621
828.6 IPS |
|
|
Text Classification (HP)
|
100% |
365
487.8 IPS |
|
|
Text Classification (Q)
|
93% |
366
491.7 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.33 IPS |
|
|
Machine Translation (Q)
|
98% |
495
8.55 IPS |
