iMac (27-inch Retina Late 2015)
Geekbench AI Score
1750
Single Precision Score
1755
Half Precision Score
665
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | macsp |
| Upload Date | September 25 2025 10:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon R9 M395 |
| 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% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
1462
271.9 IPS |
|
|
Image Classification (Q)
|
96% |
128
23.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
332
5.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (Q)
|
99% |
200
3.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
8469
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
8974
10.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
1851
2.17 IPS |
|
|
Object Detection (SP)
|
100% |
1210
96.0 IPS |
|
|
Object Detection (HP)
|
100% |
1222
97.0 IPS |
|
|
Object Detection (Q)
|
92% |
147
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
4650
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
5056
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
211
2.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
5153
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5327
41.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
4711
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15407
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15854
20.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18471
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2512
92.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2481
91.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2662
98.3 IPS |
|
|
Text Classification (SP)
|
100% |
236
314.9 IPS |
|
|
Text Classification (HP)
|
100% |
235
313.2 IPS |
|
|
Text Classification (Q)
|
93% |
228
306.1 IPS |
|
|
Machine Translation (SP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (Q)
|
98% |
220
3.81 IPS |
