iMac (27-inch Retina Late 2015)
Geekbench AI Score
655
Single Precision Score
85
Half Precision Score
71
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | macsp |
| Upload Date | September 25 2025 10:46 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-6600 |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| Model | iMac (27-inch Retina Late 2015) |
| Model ID | iMac17,1 |
| Motherboard | Apple Inc. Mac-B809C3757DA9BB8D iMac17,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Transfer Rate | 1867 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
320
59.5 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2070
2.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
468
0.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
441
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
750
8.91 IPS |
|
|
Face Detection (HP)
|
100% |
559
6.65 IPS |
|
|
Face Detection (Q)
|
100% |
269
3.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
854
6.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
721
5.56 IPS |
|
|
Depth Estimation (Q)
|
85% |
513
4.01 IPS |
|
|
Style Transfer (SP)
|
100% |
2689
3.46 IPS |
|
|
Style Transfer (HP)
|
100% |
1736
2.23 IPS |
|
|
Style Transfer (Q)
|
96% |
1443
1.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1131
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
389
14.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
270
9.97 IPS |
|
|
Text Classification (SP)
|
100% |
408
544.4 IPS |
|
|
Text Classification (HP)
|
100% |
405
540.4 IPS |
|
|
Text Classification (Q)
|
93% |
401
538.7 IPS |
|
|
Machine Translation (SP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.86 IPS |
|
|
Machine Translation (Q)
|
98% |
389
6.73 IPS |
