Apple Inc. MacBookPro9,2
Geekbench AI Score
361
Single Precision Score
362
Half Precision Score
504
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | inc7007 |
| Upload Date | May 16 2025 09:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-3210M CPU @ 2.50GHz |
| 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% |
187
34.9 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.7 IPS |
|
|
Image Classification (Q)
|
100% |
325
60.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
388
6.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
303
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
303
0.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
651
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (Q)
|
87% |
331
26.5 IPS |
|
|
Face Detection (SP)
|
100% |
652
7.74 IPS |
|
|
Face Detection (HP)
|
100% |
656
7.80 IPS |
|
|
Face Detection (Q)
|
97% |
926
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
594
4.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
594
4.58 IPS |
|
|
Depth Estimation (Q)
|
81% |
830
6.56 IPS |
|
|
Style Transfer (SP)
|
100% |
938
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
939
1.21 IPS |
|
|
Style Transfer (Q)
|
98% |
1952
2.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
272
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
398
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
336
448.7 IPS |
|
|
Text Classification (HP)
|
100% |
335
447.6 IPS |
|
|
Text Classification (Q)
|
91% |
169
227.4 IPS |
|
|
Machine Translation (SP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (Q)
|
100% |
386
6.65 IPS |
