Apple Inc. MacPro6,1
Geekbench AI Score
1942
Single Precision Score
738
Half Precision Score
1822
Quantized Score
Geekbench AI 1.7.0 for Windows x86 (64-bit)
Result Information
| User | BulbousSum |
| Upload Date | February 18 2026 01:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2697 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Apple Inc. MacPro6,1 |
| Motherboard | Apple Inc. Mac-F60DEB81FF30ACF6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v2 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1583
294.4 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.8 IPS |
|
|
Image Classification (Q)
|
96% |
1363
254.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
913
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (Q)
|
97% |
2000
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3139
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2230
2.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
3100
3.66 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (Q)
|
58% |
1042
113.9 IPS |
|
|
Face Detection (SP)
|
100% |
3598
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
779
9.25 IPS |
|
|
Face Detection (Q)
|
96% |
2839
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4022
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1021
7.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
2983
23.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7461
9.59 IPS |
|
|
Style Transfer (HP)
|
100% |
5952
7.65 IPS |
|
|
Style Transfer (Q)
|
87% |
5795
7.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1343
49.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1063
39.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1352
50.1 IPS |
|
|
Text Classification (SP)
|
100% |
695
928.0 IPS |
|
|
Text Classification (HP)
|
100% |
320
426.9 IPS |
|
|
Text Classification (Q)
|
97% |
573
767.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
68% |
1210
23.4 IPS |
