Mac Pro (Late 2013)
Geekbench AI Score
1704
Single Precision Score
1710
Half Precision Score
358
Quantized Score
Geekbench AI 1.7.0 for macOS x86 (64-bit)
Result Information
| User | RAMFlux |
| Upload Date | March 30 2026 11:28 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon HD - FirePro D700 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.5 (Build 24G624) |
| Model | Mac Pro (Late 2013) |
| Model ID | MacPro6,1 |
| Motherboard | Apple Inc. Mac-F60DEB81FF30ACF6 MacPro6,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1680 v2 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 1866 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1329
247.2 IPS |
|
|
Image Classification (HP)
|
100% |
1368
254.4 IPS |
|
|
Image Classification (Q)
|
96% |
35
6.60 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (Q)
|
99% |
61
0.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
9111
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9204
10.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
738
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (HP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (Q)
|
92% |
43
3.41 IPS |
|
|
Face Detection (SP)
|
100% |
4750
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
5063
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
60
0.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
6040
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6000
46.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
5495
42.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12965
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13392
17.2 IPS |
|
|
Style Transfer (Q)
|
96% |
14840
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1946
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1811
66.9 IPS |
|
|
Text Classification (SP)
|
100% |
278
370.7 IPS |
|
|
Text Classification (HP)
|
100% |
289
386.2 IPS |
|
|
Text Classification (Q)
|
93% |
266
357.5 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.92 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.83 IPS |
|
|
Machine Translation (Q)
|
98% |
222
3.84 IPS |
