iMac (27-inch Retina Late 2015)
Geekbench AI Score
1534
Single Precision Score
1551
Half Precision Score
617
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | deutros |
| Upload Date | March 17 2025 06:14 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon R9 M390 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | iMac (27-inch Retina Late 2015) |
| Model ID | iMac17,1 |
| Motherboard | Apple Inc. Mac-DB15BD556843C820 iMac17,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 1867 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1006
187.0 IPS |
|
|
Image Classification (HP)
|
100% |
1035
192.4 IPS |
|
|
Image Classification (Q)
|
96% |
126
23.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.44 IPS |
|
|
Image Segmentation (Q)
|
99% |
190
3.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
6623
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
6761
7.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
1867
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
1130
89.7 IPS |
|
|
Object Detection (HP)
|
100% |
1135
90.0 IPS |
|
|
Object Detection (Q)
|
92% |
101
8.04 IPS |
|
|
Face Detection (SP)
|
100% |
3824
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3729
44.3 IPS |
|
|
Face Detection (Q)
|
100% |
211
2.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
5166
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5184
39.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4808
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10417
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10744
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12469
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1510
55.7 IPS |
|
|
Text Classification (SP)
|
100% |
299
399.6 IPS |
|
|
Text Classification (HP)
|
100% |
326
435.1 IPS |
|
|
Text Classification (Q)
|
93% |
335
449.9 IPS |
|
|
Machine Translation (SP)
|
100% |
295
5.07 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.80 IPS |
|
|
Machine Translation (Q)
|
98% |
277
4.79 IPS |
