iMac (27-inch Retina)
Geekbench AI Score
599
Single Precision Score
81
Half Precision Score
71
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | jaicruvoir |
| Upload Date | October 27 2025 03:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4790K |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | iMac (27-inch Retina) |
| Model ID | iMac15,1 |
| Motherboard | Apple Inc. Mac-FA842E06C61E91C5 iMac15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 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% |
312
58.1 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1655
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
406
0.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
447
0.52 IPS |
|
|
Object Detection (SP)
|
100% |
274
21.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
580
6.89 IPS |
|
|
Face Detection (HP)
|
100% |
541
6.43 IPS |
|
|
Face Detection (Q)
|
100% |
248
2.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
723
5.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
669
5.16 IPS |
|
|
Depth Estimation (Q)
|
85% |
514
4.02 IPS |
|
|
Style Transfer (SP)
|
100% |
2458
3.16 IPS |
|
|
Style Transfer (HP)
|
100% |
1484
1.91 IPS |
|
|
Style Transfer (Q)
|
96% |
1530
1.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
327
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
232
8.56 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.4 IPS |
|
|
Text Classification (HP)
|
100% |
402
535.9 IPS |
|
|
Text Classification (Q)
|
93% |
401
538.2 IPS |
|
|
Machine Translation (SP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (Q)
|
98% |
445
7.68 IPS |
