Mac Pro (Late 2019)
Geekbench AI Score
1048
Single Precision Score
774
Half Precision Score
479
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | September 25 2025 08:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
436
81.1 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.5 IPS |
|
|
Image Classification (Q)
|
96% |
152
28.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
601
9.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (Q)
|
99% |
274
4.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
3249
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1715
2.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
1249
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
500
39.6 IPS |
|
|
Object Detection (HP)
|
100% |
350
27.8 IPS |
|
|
Object Detection (Q)
|
92% |
196
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
1044
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
753
8.95 IPS |
|
|
Face Detection (Q)
|
100% |
310
3.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
1517
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1458
11.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
766
5.99 IPS |
|
|
Style Transfer (SP)
|
100% |
6169
7.93 IPS |
|
|
Style Transfer (HP)
|
100% |
5868
7.54 IPS |
|
|
Style Transfer (Q)
|
96% |
3267
4.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
900
33.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
413
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
702
937.0 IPS |
|
|
Text Classification (HP)
|
100% |
380
507.5 IPS |
|
|
Text Classification (Q)
|
93% |
381
511.8 IPS |
|
|
Machine Translation (SP)
|
100% |
565
9.74 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (Q)
|
98% |
517
8.93 IPS |
