iMac (27-inch Retina)
Geekbench AI Score
407
Single Precision Score
53
Half Precision Score
48
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | Gian5678 |
| Upload Date | July 29 2025 12:25 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-4790K |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
313
58.2 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
1358
1.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
121
0.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
129
0.15 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.17 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
424
5.03 IPS |
|
|
Face Detection (HP)
|
100% |
301
3.58 IPS |
|
|
Face Detection (Q)
|
100% |
152
1.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
247
1.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
306
2.36 IPS |
|
|
Depth Estimation (Q)
|
85% |
262
2.05 IPS |
|
|
Style Transfer (SP)
|
100% |
1305
1.68 IPS |
|
|
Style Transfer (HP)
|
100% |
394
0.51 IPS |
|
|
Style Transfer (Q)
|
96% |
365
0.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
565
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
239
8.81 IPS |
|
|
Text Classification (SP)
|
100% |
405
541.0 IPS |
|
|
Text Classification (HP)
|
100% |
400
533.8 IPS |
|
|
Text Classification (Q)
|
93% |
399
535.1 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.95 IPS |
|
|
Machine Translation (Q)
|
98% |
425
7.34 IPS |
