Mac Pro (Late 2019)
Geekbench AI Score
2719
Single Precision Score
2826
Half Precision Score
624
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | October 16 2025 09:32 PM |
| Views | 4 |
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% |
3558
661.6 IPS |
|
|
Image Classification (HP)
|
100% |
3669
682.3 IPS |
|
|
Image Classification (Q)
|
96% |
99
18.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
470
7.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
473
7.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
209
3.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
48214
56.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
44426
51.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
2810
3.29 IPS |
|
|
Object Detection (SP)
|
100% |
3850
305.4 IPS |
|
|
Object Detection (HP)
|
100% |
3889
308.5 IPS |
|
|
Object Detection (Q)
|
92% |
84
6.67 IPS |
|
|
Face Detection (SP)
|
100% |
12849
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
12748
151.5 IPS |
|
|
Face Detection (Q)
|
100% |
232
2.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
18483
142.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18901
145.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
17484
136.6 IPS |
|
|
Style Transfer (SP)
|
100% |
88312
113.5 IPS |
|
|
Style Transfer (HP)
|
100% |
89877
115.5 IPS |
|
|
Style Transfer (Q)
|
96% |
108510
140.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7000
258.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10864
401.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9533
352.0 IPS |
|
|
Text Classification (SP)
|
100% |
485
647.5 IPS |
|
|
Text Classification (HP)
|
100% |
462
616.9 IPS |
|
|
Text Classification (Q)
|
93% |
441
591.5 IPS |
|
|
Machine Translation (SP)
|
0% |
0
3.42 IPS |
|
|
Machine Translation (HP)
|
0% |
0
3.36 IPS |
|
|
Machine Translation (Q)
|
0% |
0
3.35 IPS |
