Mac Pro (Late 2019)
Geekbench AI Score
5441
Single Precision Score
5714
Half Precision Score
1255
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | October 23 2025 06:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega II Duo |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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% |
3520
654.6 IPS |
|
|
Image Classification (HP)
|
100% |
3603
670.1 IPS |
|
|
Image Classification (Q)
|
96% |
95
17.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
208
3.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
49099
57.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
44598
52.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
2741
3.21 IPS |
|
|
Object Detection (SP)
|
100% |
3868
306.8 IPS |
|
|
Object Detection (HP)
|
100% |
3855
305.7 IPS |
|
|
Object Detection (Q)
|
92% |
105
8.39 IPS |
|
|
Face Detection (SP)
|
100% |
13695
162.7 IPS |
|
|
Face Detection (HP)
|
100% |
16886
200.6 IPS |
|
|
Face Detection (Q)
|
100% |
224
2.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
18532
142.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18842
145.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17516
136.9 IPS |
|
|
Style Transfer (SP)
|
100% |
89387
114.9 IPS |
|
|
Style Transfer (HP)
|
100% |
90680
116.6 IPS |
|
|
Style Transfer (Q)
|
96% |
109441
141.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6936
256.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10848
400.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9552
352.7 IPS |
|
|
Text Classification (SP)
|
100% |
485
647.7 IPS |
|
|
Text Classification (HP)
|
100% |
459
612.0 IPS |
|
|
Text Classification (Q)
|
93% |
438
587.8 IPS |
|
|
Machine Translation (SP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
949
16.4 IPS |
