Apple Inc. MacBookPro9,2
Geekbench AI Score
464
Single Precision Score
284
Half Precision Score
401
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | May 16 2025 08:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3210M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
304
56.5 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.8 IPS |
|
|
Image Classification (Q)
|
96% |
285
53.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
242
3.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
572
0.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
456
0.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
539
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
290
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (Q)
|
58% |
206
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
831
9.88 IPS |
|
|
Face Detection (HP)
|
100% |
384
4.56 IPS |
|
|
Face Detection (Q)
|
96% |
691
8.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
739
5.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
415
3.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
655
5.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1444
1.86 IPS |
|
|
Style Transfer (HP)
|
100% |
1169
1.50 IPS |
|
|
Style Transfer (Q)
|
87% |
1250
1.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
321
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
259
9.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
300
11.1 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.0 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.0 IPS |
|
|
Text Classification (Q)
|
97% |
182
243.2 IPS |
|
|
Machine Translation (SP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (HP)
|
100% |
217
3.74 IPS |
|
|
Machine Translation (Q)
|
68% |
460
8.88 IPS |
