Mac Pro (Mid 2010)
Geekbench AI Score
329
Single Precision Score
327
Half Precision Score
247
Quantized Score
Geekbench AI 1.3.0 for macOS x86 (64-bit)
Result Information
| User | CircuitSphere |
| Upload Date | June 27 2025 07:23 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon X5650 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac Pro (Mid 2010) |
| Model ID | MacPro5,1 |
| Motherboard | Apple Inc. Mac-F221BEC8 |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5650 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 1333 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
156
28.9 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (Q)
|
94% |
106
19.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
159
2.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
1030
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1027
1.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
858
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (Q)
|
90% |
138
11.0 IPS |
|
|
Face Detection (SP)
|
100% |
419
4.97 IPS |
|
|
Face Detection (HP)
|
100% |
419
4.98 IPS |
|
|
Face Detection (Q)
|
100% |
221
2.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
551
4.25 IPS |
|
|
Depth Estimation (HP)
|
99% |
550
4.24 IPS |
|
|
Depth Estimation (Q)
|
86% |
406
3.17 IPS |
|
|
Style Transfer (SP)
|
100% |
1529
1.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1524
1.96 IPS |
|
|
Style Transfer (Q)
|
96% |
1269
1.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
529
19.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
317
11.7 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.2 IPS |
|
|
Text Classification (HP)
|
100% |
113
151.4 IPS |
|
|
Text Classification (Q)
|
93% |
114
152.6 IPS |
|
|
Machine Translation (SP)
|
100% |
103
1.78 IPS |
|
|
Machine Translation (HP)
|
100% |
103
1.78 IPS |
|
|
Machine Translation (Q)
|
98% |
103
1.78 IPS |
