Apple Inc. MacBookPro5,1
Geekbench AI Score
113
Single Precision Score
114
Half Precision Score
256
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 03 2026 03:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 2 Duo T9550 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Apple Inc. MacBookPro5,1 |
| Motherboard | Apple Inc. Mac-F42D86A9 |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo T9550 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
65
12.2 IPS |
|
|
Image Classification (HP)
|
100% |
55
10.1 IPS |
|
|
Image Classification (Q)
|
96% |
190
35.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
68
1.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
72
1.17 IPS |
|
|
Image Segmentation (Q)
|
97% |
183
2.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
110
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
170
0.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
369
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
62
4.91 IPS |
|
|
Object Detection (HP)
|
100% |
59
4.66 IPS |
|
|
Object Detection (Q)
|
58% |
135
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
184
2.18 IPS |
|
|
Face Detection (HP)
|
100% |
131
1.56 IPS |
|
|
Face Detection (Q)
|
96% |
366
4.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
156
1.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
163
1.26 IPS |
|
|
Depth Estimation (Q)
|
78% |
399
3.17 IPS |
|
|
Style Transfer (SP)
|
100% |
304
0.39 IPS |
|
|
Style Transfer (HP)
|
100% |
447
0.57 IPS |
|
|
Style Transfer (Q)
|
87% |
675
0.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67
2.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
101
3.73 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
233
8.65 IPS |
|
|
Text Classification (SP)
|
100% |
141
188.4 IPS |
|
|
Text Classification (HP)
|
100% |
97
129.2 IPS |
|
|
Text Classification (Q)
|
97% |
112
149.9 IPS |
|
|
Machine Translation (SP)
|
100% |
138
2.38 IPS |
|
|
Machine Translation (HP)
|
100% |
103
1.77 IPS |
|
|
Machine Translation (Q)
|
68% |
275
5.32 IPS |
