iMac (27-inch Late 2012)
Geekbench AI Score
417
Single Precision Score
104
Half Precision Score
56
Quantized Score
Geekbench AI 1.2.0 for macOS x86 (64-bit)
Result Information
| User | kapusmd |
| Upload Date | January 05 2025 10:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-3770 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | iMac (27-inch Late 2012) |
| Model ID | iMac13,2 |
| Motherboard | Apple Inc. Mac-FC02E91DDD3FA6A4 iMac13,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
210
39.1 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.0 IPS |
|
|
Image Classification (Q)
|
96% |
49
9.22 IPS |
|
|
Image Segmentation (SP)
|
100% |
236
3.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
124
2.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
68
1.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
1065
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
267
0.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
218
0.26 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
92% |
59
4.74 IPS |
|
|
Face Detection (SP)
|
100% |
562
6.68 IPS |
|
|
Face Detection (HP)
|
100% |
388
4.61 IPS |
|
|
Face Detection (Q)
|
100% |
83
0.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
568
4.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
307
2.36 IPS |
|
|
Depth Estimation (Q)
|
85% |
167
1.30 IPS |
|
|
Style Transfer (SP)
|
100% |
1397
1.80 IPS |
|
|
Style Transfer (HP)
|
100% |
784
1.01 IPS |
|
|
Style Transfer (Q)
|
96% |
559
0.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
535
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
183
6.74 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
94
3.47 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.8 IPS |
|
|
Text Classification (HP)
|
29% |
10
165.0 IPS |
|
|
Text Classification (Q)
|
29% |
10
164.6 IPS |
|
|
Machine Translation (SP)
|
100% |
232
3.99 IPS |
|
|
Machine Translation (HP)
|
0% |
0
0.48 IPS |
|
|
Machine Translation (Q)
|
0% |
0
0.50 IPS |
