iMac (27-inch Retina)
Geekbench AI Score
1962
Single Precision Score
2038
Half Precision Score
612
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | jaicruvoir |
| Upload Date | October 27 2025 03:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon R9 M295X |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | iMac (27-inch Retina) |
| Model ID | iMac15,1 |
| Motherboard | Apple Inc. Mac-FA842E06C61E91C5 iMac15,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1577
293.3 IPS |
|
|
Image Classification (HP)
|
100% |
1605
298.4 IPS |
|
|
Image Classification (Q)
|
96% |
98
18.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
158
2.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
10022
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10600
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
1634
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (Q)
|
92% |
93
7.41 IPS |
|
|
Face Detection (SP)
|
100% |
4506
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
5354
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
182
2.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
6425
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6396
49.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
4895
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17635
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21203
27.3 IPS |
|
|
Style Transfer (Q)
|
96% |
25766
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3347
123.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3209
118.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3042
112.3 IPS |
|
|
Text Classification (SP)
|
100% |
206
275.6 IPS |
|
|
Text Classification (HP)
|
100% |
235
313.5 IPS |
|
|
Text Classification (Q)
|
93% |
178
239.5 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
249
4.28 IPS |
|
|
Machine Translation (Q)
|
98% |
253
4.38 IPS |
