Mac Pro (Late 2019)
Geekbench AI Score
5342
Single Precision Score
5669
Half Precision Score
449
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 23 2025 10:54 PM |
| Views | 41 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega II Duo |
| 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% |
3508
652.3 IPS |
|
|
Image Classification (HP)
|
100% |
3534
657.2 IPS |
|
|
Image Classification (Q)
|
96% |
81
15.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
460
7.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
462
7.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
204
3.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
48018
56.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
44168
51.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
2869
3.36 IPS |
|
|
Object Detection (SP)
|
100% |
3791
300.7 IPS |
|
|
Object Detection (HP)
|
100% |
3814
302.5 IPS |
|
|
Object Detection (Q)
|
92% |
74
5.89 IPS |
|
|
Face Detection (SP)
|
100% |
13859
164.7 IPS |
|
|
Face Detection (HP)
|
100% |
14936
177.5 IPS |
|
|
Face Detection (Q)
|
100% |
216
2.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
19384
149.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20774
160.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
146.8 IPS |
|
|
Style Transfer (SP)
|
100% |
93015
119.6 IPS |
|
|
Style Transfer (HP)
|
100% |
98697
126.9 IPS |
|
|
Style Transfer (Q)
|
96% |
124114
160.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6617
244.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10904
402.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10540
389.2 IPS |
|
|
Text Classification (SP)
|
100% |
403
538.4 IPS |
|
|
Text Classification (HP)
|
100% |
399
533.1 IPS |
|
|
Text Classification (Q)
|
93% |
360
482.6 IPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
941
16.3 IPS |
