MacBook Pro (15-inch, Mid 2012) MacBook Pro (15-inch Mid 2012)
Geekbench AI Score
366
Single Precision Score
92
Half Precision Score
48
Quantized Score
Geekbench AI 1.2.0 for macOS x86 (64-bit)
Result Information
| User | ChanceLP |
| Upload Date | February 23 2025 06:35 AM |
| Views | 6 |
| Notes | Tracker: D77D8F7B |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-3720QM |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (15-inch Mid 2012) |
| Model ID | MacBookPro9,1 |
| Motherboard | Apple Inc. Mac-4B7AC7E43945597E MacBookPro9,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3720QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.4 IPS |
|
|
Image Classification (Q)
|
96% |
43
7.95 IPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
108
1.75 IPS |
|
|
Image Segmentation (Q)
|
99% |
59
0.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
962
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
224
0.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
191
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
190
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (Q)
|
92% |
51
4.07 IPS |
|
|
Face Detection (SP)
|
100% |
504
5.99 IPS |
|
|
Face Detection (HP)
|
100% |
332
3.95 IPS |
|
|
Face Detection (Q)
|
100% |
72
0.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
550
4.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
272
2.10 IPS |
|
|
Depth Estimation (Q)
|
85% |
143
1.12 IPS |
|
|
Style Transfer (SP)
|
100% |
1164
1.50 IPS |
|
|
Style Transfer (HP)
|
100% |
703
0.90 IPS |
|
|
Style Transfer (Q)
|
96% |
495
0.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
162
5.98 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
79
2.93 IPS |
|
|
Text Classification (SP)
|
100% |
181
241.1 IPS |
|
|
Text Classification (HP)
|
29% |
8
137.0 IPS |
|
|
Text Classification (Q)
|
29% |
8
136.9 IPS |
|
|
Machine Translation (SP)
|
100% |
198
3.42 IPS |
|
|
Machine Translation (HP)
|
0% |
0
0.27 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.34 IPS |
