iMac (21.5-inch Retina Late 2015)
Geekbench AI Score
683
Single Precision Score
87
Half Precision Score
72
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | royleung826 |
| Upload Date | December 08 2025 05:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-5775R |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | iMac (21.5-inch Retina Late 2015) |
| Model ID | iMac16,2 |
| Motherboard | Apple Inc. Mac-FFE5EF870D7BA81A iMac16,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-5775R |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 71 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 1867 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
291
54.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
353
5.73 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2452
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
444
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
296
23.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
784
9.31 IPS |
|
|
Face Detection (HP)
|
100% |
595
7.07 IPS |
|
|
Face Detection (Q)
|
100% |
263
3.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
990
7.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
738
5.68 IPS |
|
|
Depth Estimation (Q)
|
85% |
499
3.90 IPS |
|
|
Style Transfer (SP)
|
100% |
2970
3.82 IPS |
|
|
Style Transfer (HP)
|
100% |
1833
2.36 IPS |
|
|
Style Transfer (Q)
|
96% |
1518
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1203
44.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
392
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
263
9.71 IPS |
|
|
Text Classification (SP)
|
100% |
358
478.0 IPS |
|
|
Text Classification (HP)
|
100% |
374
499.2 IPS |
|
|
Text Classification (Q)
|
93% |
376
504.1 IPS |
|
|
Machine Translation (SP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.09 IPS |
|
|
Machine Translation (Q)
|
98% |
475
8.21 IPS |
