Mac Pro (Late 2019)
Geekbench AI Score
5736
Single Precision Score
5913
Half Precision Score
1340
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 08 2025 10:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega II Duo |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
3782
703.3 IPS |
|
|
Image Classification (HP)
|
100% |
3890
723.4 IPS |
|
|
Image Classification (Q)
|
96% |
94
17.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
468
7.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
467
7.56 IPS |
|
|
Image Segmentation (Q)
|
99% |
222
3.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
48822
57.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
44798
52.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3048
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
3988
316.3 IPS |
|
|
Object Detection (HP)
|
100% |
4032
319.8 IPS |
|
|
Object Detection (Q)
|
92% |
118
9.45 IPS |
|
|
Face Detection (SP)
|
100% |
14380
170.9 IPS |
|
|
Face Detection (HP)
|
100% |
14364
170.7 IPS |
|
|
Face Detection (Q)
|
100% |
238
2.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
19930
153.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20791
160.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19610
153.3 IPS |
|
|
Style Transfer (SP)
|
100% |
94144
121.0 IPS |
|
|
Style Transfer (HP)
|
100% |
98890
127.1 IPS |
|
|
Style Transfer (Q)
|
96% |
124803
161.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7858
290.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11389
420.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10079
372.2 IPS |
|
|
Text Classification (SP)
|
100% |
497
663.1 IPS |
|
|
Text Classification (HP)
|
100% |
473
630.7 IPS |
|
|
Text Classification (Q)
|
93% |
425
570.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
999
17.3 IPS |
