Apple Inc. MacBookPro9,2
Geekbench AI Score
427
Single Precision Score
258
Half Precision Score
365
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | brianl831 |
| Upload Date | September 12 2025 03:06 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3210M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Apple Inc. MacBookPro9,2 |
| Motherboard | Apple Inc. Mac-6F01561E16C75D06 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3210M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.7 IPS |
|
|
Image Classification (Q)
|
96% |
273
51.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
226
3.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
282
4.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
483
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
389
0.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
487
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.72 IPS |
|
|
Object Detection (Q)
|
58% |
171
18.7 IPS |
|
|
Face Detection (SP)
|
100% |
697
8.28 IPS |
|
|
Face Detection (HP)
|
100% |
325
3.87 IPS |
|
|
Face Detection (Q)
|
96% |
502
5.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
725
5.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
377
2.90 IPS |
|
|
Depth Estimation (Q)
|
78% |
617
4.91 IPS |
|
|
Style Transfer (SP)
|
100% |
1239
1.59 IPS |
|
|
Style Transfer (HP)
|
100% |
1066
1.37 IPS |
|
|
Style Transfer (Q)
|
87% |
1129
1.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
298
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
213
7.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
299
11.1 IPS |
|
|
Text Classification (SP)
|
100% |
321
428.3 IPS |
|
|
Text Classification (HP)
|
100% |
191
255.2 IPS |
|
|
Text Classification (Q)
|
97% |
159
213.5 IPS |
|
|
Machine Translation (SP)
|
100% |
420
7.23 IPS |
|
|
Machine Translation (HP)
|
100% |
209
3.60 IPS |
|
|
Machine Translation (Q)
|
68% |
395
7.64 IPS |
