Mac Pro (Late 2019)
Geekbench AI Score
1065
Single Precision Score
767
Half Precision Score
491
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | August 31 2025 07:25 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
446
83.0 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.6 IPS |
|
|
Image Classification (Q)
|
96% |
155
28.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.87 IPS |
|
|
Image Segmentation (Q)
|
99% |
277
4.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
3213
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1669
1.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
1365
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
516
40.9 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
92% |
201
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
766
9.10 IPS |
|
|
Face Detection (Q)
|
100% |
318
3.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
1652
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1457
11.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
765
5.99 IPS |
|
|
Style Transfer (SP)
|
100% |
6332
8.14 IPS |
|
|
Style Transfer (HP)
|
100% |
5499
7.07 IPS |
|
|
Style Transfer (Q)
|
96% |
3589
4.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
788
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
394
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
629
839.7 IPS |
|
|
Text Classification (HP)
|
100% |
380
506.9 IPS |
|
|
Text Classification (Q)
|
93% |
381
510.9 IPS |
|
|
Machine Translation (SP)
|
100% |
566
9.74 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.02 IPS |
|
|
Machine Translation (Q)
|
98% |
529
9.14 IPS |
