iMac (27-inch Retina Mid 2017)
Geekbench AI Score
827
Single Precision Score
101
Half Precision Score
86
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | Parah |
| Upload Date | November 27 2025 09:28 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-7700K |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | iMac (27-inch Retina Mid 2017) |
| Model ID | iMac18,3 |
| Motherboard | Apple Inc. Mac-BE088AF8C5EB4FA2 iMac18,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
381
70.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
406
6.59 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2893
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
646
0.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
594
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
823
9.78 IPS |
|
|
Face Detection (HP)
|
100% |
634
7.53 IPS |
|
|
Face Detection (Q)
|
100% |
332
3.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
1284
9.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
937
7.22 IPS |
|
|
Depth Estimation (Q)
|
85% |
643
5.03 IPS |
|
|
Style Transfer (SP)
|
100% |
3625
4.66 IPS |
|
|
Style Transfer (HP)
|
100% |
2322
2.98 IPS |
|
|
Style Transfer (Q)
|
96% |
1909
2.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1454
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
344
12.7 IPS |
|
|
Text Classification (SP)
|
100% |
486
649.2 IPS |
|
|
Text Classification (HP)
|
100% |
490
654.4 IPS |
|
|
Text Classification (Q)
|
93% |
488
654.6 IPS |
|
|
Machine Translation (SP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
98% |
560
9.68 IPS |
