Mac Pro (Late 2019)
Geekbench AI Score
5711
Single Precision Score
6005
Half Precision Score
1295
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 07 2025 04:57 PM |
| Views | 19 |
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% |
3800
706.7 IPS |
|
|
Image Classification (HP)
|
100% |
3876
720.9 IPS |
|
|
Image Classification (Q)
|
96% |
91
17.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
481
7.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
48363
56.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
44189
51.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
2936
3.44 IPS |
|
|
Object Detection (SP)
|
100% |
3981
315.8 IPS |
|
|
Object Detection (HP)
|
100% |
4088
324.3 IPS |
|
|
Object Detection (Q)
|
92% |
92
7.34 IPS |
|
|
Face Detection (SP)
|
100% |
13712
162.9 IPS |
|
|
Face Detection (HP)
|
100% |
17011
202.1 IPS |
|
|
Face Detection (Q)
|
100% |
232
2.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
19799
152.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20870
160.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19658
153.6 IPS |
|
|
Style Transfer (SP)
|
100% |
93578
120.3 IPS |
|
|
Style Transfer (HP)
|
100% |
98503
126.6 IPS |
|
|
Style Transfer (Q)
|
96% |
124156
160.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7894
291.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11448
422.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10125
373.9 IPS |
|
|
Text Classification (SP)
|
100% |
489
652.6 IPS |
|
|
Text Classification (HP)
|
100% |
469
626.6 IPS |
|
|
Text Classification (Q)
|
93% |
419
562.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
992
17.1 IPS |
