Mac Pro (Late 2019)
Geekbench AI Score
5408
Single Precision Score
5757
Half Precision Score
1252
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | December 27 2024 07:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega II Duo |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
3552
660.6 IPS |
|
|
Image Classification (HP)
|
100% |
3529
656.2 IPS |
|
|
Image Classification (Q)
|
96% |
92
17.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
469
7.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
462
7.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
217
3.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
48364
56.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
44451
51.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
2840
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
3866
306.6 IPS |
|
|
Object Detection (HP)
|
100% |
3779
299.7 IPS |
|
|
Object Detection (Q)
|
92% |
98
7.86 IPS |
|
|
Face Detection (SP)
|
100% |
12976
154.2 IPS |
|
|
Face Detection (HP)
|
100% |
17864
212.3 IPS |
|
|
Face Detection (Q)
|
100% |
218
2.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
19369
149.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20650
159.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
19548
152.8 IPS |
|
|
Style Transfer (SP)
|
100% |
92764
119.2 IPS |
|
|
Style Transfer (HP)
|
100% |
98619
126.8 IPS |
|
|
Style Transfer (Q)
|
96% |
124034
160.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7188
265.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11067
408.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9742
359.7 IPS |
|
|
Text Classification (SP)
|
100% |
427
570.3 IPS |
|
|
Text Classification (HP)
|
100% |
407
543.4 IPS |
|
|
Text Classification (Q)
|
93% |
373
500.2 IPS |
|
|
Machine Translation (SP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
888
15.3 IPS |
