Mac Pro (Late 2019)
Geekbench AI Score
5073
Single Precision Score
5440
Half Precision Score
1163
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | March 08 2025 02:34 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega II Duo |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| Model | Mac Pro (Late 2019) |
| Model ID | MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3265M |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3322
617.8 IPS |
|
|
Image Classification (HP)
|
100% |
3222
599.2 IPS |
|
|
Image Classification (Q)
|
96% |
87
16.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.77 IPS |
|
|
Image Segmentation (Q)
|
99% |
201
3.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
47919
55.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
44098
51.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
2732
3.20 IPS |
|
|
Object Detection (SP)
|
100% |
3763
298.5 IPS |
|
|
Object Detection (HP)
|
100% |
3817
302.7 IPS |
|
|
Object Detection (Q)
|
92% |
72
5.76 IPS |
|
|
Face Detection (SP)
|
100% |
12238
145.4 IPS |
|
|
Face Detection (HP)
|
100% |
13896
165.1 IPS |
|
|
Face Detection (Q)
|
100% |
219
2.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
18334
141.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18925
145.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
17334
135.5 IPS |
|
|
Style Transfer (SP)
|
100% |
85539
110.0 IPS |
|
|
Style Transfer (HP)
|
100% |
89918
115.6 IPS |
|
|
Style Transfer (Q)
|
96% |
107443
138.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6416
236.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11009
406.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9391
346.8 IPS |
|
|
Text Classification (SP)
|
100% |
390
521.1 IPS |
|
|
Text Classification (HP)
|
100% |
400
533.6 IPS |
|
|
Text Classification (Q)
|
93% |
363
487.2 IPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
949
16.4 IPS |
