Apple Inc. MacBookPro5,1
Geekbench AI Score
96
Single Precision Score
77
Half Precision Score
158
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | guinea7pig |
| Upload Date | May 23 2025 09:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 2 Duo P8600 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Apple Inc. MacBookPro5,1 |
| Motherboard | Apple Inc. Mac-F42D86A9 |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo P8600 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 2.39 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
51
9.54 IPS |
|
|
Image Classification (HP)
|
100% |
28
5.19 IPS |
|
|
Image Classification (Q)
|
97% |
95
17.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
56
0.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
35
0.57 IPS |
|
|
Image Segmentation (Q)
|
99% |
119
1.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
100
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
154
0.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
194
0.23 IPS |
|
|
Object Detection (SP)
|
100% |
51
4.02 IPS |
|
|
Object Detection (HP)
|
100% |
32
2.53 IPS |
|
|
Object Detection (Q)
|
86% |
94
7.57 IPS |
|
|
Face Detection (SP)
|
100% |
131
1.56 IPS |
|
|
Face Detection (HP)
|
100% |
52
0.62 IPS |
|
|
Face Detection (Q)
|
97% |
274
3.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
138
1.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
113
0.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
222
1.77 IPS |
|
|
Style Transfer (SP)
|
100% |
276
0.35 IPS |
|
|
Style Transfer (HP)
|
100% |
415
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
431
0.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61
2.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
90
3.33 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
120
4.45 IPS |
|
|
Text Classification (SP)
|
100% |
119
158.9 IPS |
|
|
Text Classification (HP)
|
100% |
79
106.0 IPS |
|
|
Text Classification (Q)
|
97% |
137
183.9 IPS |
|
|
Machine Translation (SP)
|
100% |
129
2.23 IPS |
|
|
Machine Translation (HP)
|
100% |
89
1.54 IPS |
|
|
Machine Translation (Q)
|
65% |
110
2.20 IPS |
