iMac (27-inch Retina Late 2015)
Geekbench AI Score
688
Single Precision Score
516
Half Precision Score
381
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | studioarash |
| Upload Date | October 19 2024 12:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-6700K |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | iMac (27-inch Retina Late 2015) |
| Model ID | iMac17,1 |
| Motherboard | Apple Inc. Mac-B809C3757DA9BB8D iMac17,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Transfer Rate | 1867 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
336
62.5 IPS |
|
|
Image Classification (HP)
|
100% |
265
49.3 IPS |
|
|
Image Classification (Q)
|
96% |
159
29.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
233
3.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
1903
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
588
0.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
533
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (HP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (Q)
|
92% |
184
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
790
9.38 IPS |
|
|
Face Detection (HP)
|
100% |
628
7.46 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
943
7.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
846
6.52 IPS |
|
|
Depth Estimation (Q)
|
85% |
584
4.57 IPS |
|
|
Style Transfer (SP)
|
100% |
2657
3.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2026
2.60 IPS |
|
|
Style Transfer (Q)
|
96% |
1688
2.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
311
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
451
602.0 IPS |
|
|
Text Classification (HP)
|
100% |
426
569.1 IPS |
|
|
Text Classification (Q)
|
93% |
426
572.3 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
98% |
464
8.02 IPS |
