iMac (27-inch Retina Late 2015)
Geekbench AI Score
717
Single Precision Score
88
Half Precision Score
74
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | netjosh |
| Upload Date | April 08 2026 07:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-6600 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.5 (Build 24G624) |
| 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 | 16.00 GB |
| Transfer Rate | 1867 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
328
61.1 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2383
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
493
0.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
457
0.54 IPS |
|
|
Object Detection (SP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
840
9.98 IPS |
|
|
Face Detection (HP)
|
100% |
628
7.46 IPS |
|
|
Face Detection (Q)
|
100% |
289
3.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
1081
8.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
771
5.94 IPS |
|
|
Depth Estimation (Q)
|
85% |
534
4.18 IPS |
|
|
Style Transfer (SP)
|
100% |
2881
3.70 IPS |
|
|
Style Transfer (HP)
|
100% |
1803
2.32 IPS |
|
|
Style Transfer (Q)
|
96% |
1519
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
401
14.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
279
10.3 IPS |
|
|
Text Classification (SP)
|
100% |
418
558.0 IPS |
|
|
Text Classification (HP)
|
100% |
406
542.5 IPS |
|
|
Text Classification (Q)
|
93% |
404
541.7 IPS |
|
|
Machine Translation (SP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.57 IPS |
|
|
Machine Translation (Q)
|
98% |
438
7.57 IPS |
