Mac Pro (Late 2019)
Geekbench AI Score
2741
Single Precision Score
2817
Half Precision Score
635
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | October 16 2025 10:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega II Duo |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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% |
3627
674.6 IPS |
|
|
Image Classification (HP)
|
100% |
3447
641.1 IPS |
|
|
Image Classification (Q)
|
96% |
97
18.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
481
7.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
475
7.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
222
3.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
48368
56.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
44536
52.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
2899
3.40 IPS |
|
|
Object Detection (SP)
|
100% |
3892
308.7 IPS |
|
|
Object Detection (HP)
|
100% |
3892
308.7 IPS |
|
|
Object Detection (Q)
|
92% |
94
7.47 IPS |
|
|
Face Detection (SP)
|
100% |
12845
152.6 IPS |
|
|
Face Detection (HP)
|
100% |
13009
154.6 IPS |
|
|
Face Detection (Q)
|
100% |
229
2.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
18553
142.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18917
145.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
17441
136.3 IPS |
|
|
Style Transfer (SP)
|
100% |
88811
114.2 IPS |
|
|
Style Transfer (HP)
|
100% |
90146
115.9 IPS |
|
|
Style Transfer (Q)
|
96% |
108901
140.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6889
254.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10807
399.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9529
351.9 IPS |
|
|
Text Classification (SP)
|
100% |
500
666.7 IPS |
|
|
Text Classification (HP)
|
100% |
463
617.4 IPS |
|
|
Text Classification (Q)
|
93% |
443
594.4 IPS |
|
|
Machine Translation (SP)
|
0% |
0
3.44 IPS |
|
|
Machine Translation (HP)
|
0% |
0
3.35 IPS |
|
|
Machine Translation (Q)
|
0% |
0
3.34 IPS |
