Mac Pro (Late 2013)
Geekbench AI Score
467
Single Precision Score
84
Half Precision Score
69
Quantized Score
Geekbench AI 1.0.0 for macOS x86 (64-bit)
Result Information
| Upload Date | August 15 2024 08:01 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon E5-2697 v2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac Pro (Late 2013) |
| Model ID | MacPro6,1 |
| Motherboard | Apple Inc. Mac-F60DEB81FF30ACF6 MacPro6,1 |
| 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 | 64.00 GB |
| Transfer Rate | 1866 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
74
13.7 IPS |
|
|
Image Classification (Q)
|
99% |
74
13.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
325
5.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
57
0.92 IPS |
|
|
Image Segmentation (Q)
|
100% |
57
0.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
1484
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
728
0.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
427
0.50 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
92
7.32 IPS |
|
|
Object Detection (Q)
|
92% |
42
3.34 IPS |
|
|
Face Detection (SP)
|
100% |
421
5.01 IPS |
|
|
Face Detection (HP)
|
100% |
113
1.35 IPS |
|
|
Face Detection (Q)
|
100% |
55
0.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
732
5.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
192
1.48 IPS |
|
|
Depth Estimation (Q)
|
97% |
496
3.83 IPS |
|
|
Style Transfer (SP)
|
100% |
2179
2.80 IPS |
|
|
Style Transfer (HP)
|
100% |
834
1.07 IPS |
|
|
Style Transfer (Q)
|
100% |
832
1.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
465
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
234
8.63 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
91
3.37 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.3 IPS |
|
|
Text Classification (HP)
|
36% |
16
133.3 IPS |
|
|
Text Classification (Q)
|
36% |
17
140.2 IPS |
|
|
Machine Translation (SP)
|
100% |
222
3.83 IPS |
|
|
Machine Translation (HP)
|
0% |
0
1.80 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.50 IPS |
