Mac Pro (Late 2019)
Geekbench AI Score
1043
Single Precision Score
796
Half Precision Score
497
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 03 2025 03:27 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| 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% |
405
75.4 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.4 IPS |
|
|
Image Classification (Q)
|
96% |
151
28.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (Q)
|
99% |
278
4.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
3223
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1705
1.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
1370
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
526
41.7 IPS |
|
|
Object Detection (HP)
|
100% |
360
28.5 IPS |
|
|
Object Detection (Q)
|
92% |
201
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
1118
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
793
9.42 IPS |
|
|
Face Detection (Q)
|
100% |
320
3.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
1663
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1499
11.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
800
6.26 IPS |
|
|
Style Transfer (SP)
|
100% |
6560
8.43 IPS |
|
|
Style Transfer (HP)
|
100% |
6606
8.49 IPS |
|
|
Style Transfer (Q)
|
96% |
3958
5.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
425
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
670
894.4 IPS |
|
|
Text Classification (HP)
|
100% |
358
477.4 IPS |
|
|
Text Classification (Q)
|
93% |
355
476.9 IPS |
|
|
Machine Translation (SP)
|
100% |
444
7.64 IPS |
|
|
Machine Translation (HP)
|
100% |
530
9.14 IPS |
|
|
Machine Translation (Q)
|
98% |
527
9.11 IPS |
