iMac (21.5-inch Retina Late 2015)
Geekbench AI Score
561
Single Precision Score
686
Half Precision Score
368
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | royleung826 |
| Upload Date | December 08 2025 05:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel(R) Iris(TM) Pro Graphics 6200 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | iMac (21.5-inch Retina Late 2015) |
| Model ID | iMac16,2 |
| Motherboard | Apple Inc. Mac-FFE5EF870D7BA81A iMac16,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-5775R |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 71 Stepping 1 |
| 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% |
553
102.8 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (Q)
|
96% |
119
22.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
248
4.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
144
2.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
1692
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1693
1.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
1019
1.19 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
100% |
486
38.5 IPS |
|
|
Object Detection (Q)
|
93% |
135
10.8 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (Q)
|
100% |
189
2.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
924
7.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
915
7.05 IPS |
|
|
Depth Estimation (Q)
|
85% |
888
6.94 IPS |
|
|
Style Transfer (SP)
|
100% |
1877
2.41 IPS |
|
|
Style Transfer (HP)
|
100% |
1868
2.40 IPS |
|
|
Style Transfer (Q)
|
96% |
1749
2.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
425
15.7 IPS |
|
|
Text Classification (SP)
|
29% |
36
629.0 IPS |
|
|
Text Classification (HP)
|
71% |
427
618.4 IPS |
|
|
Text Classification (Q)
|
71% |
365
528.4 IPS |
|
|
Machine Translation (SP)
|
100% |
578
9.95 IPS |
|
|
Machine Translation (HP)
|
100% |
433
7.45 IPS |
|
|
Machine Translation (Q)
|
98% |
432
7.47 IPS |
