iMac (24-inch, 2023)
Geekbench AI Score
2557
Single Precision Score
14119
Half Precision Score
16128
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Bxckam1422 |
| Upload Date | April 28 2025 08:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| Model | iMac (24-inch, 2023) |
| Model ID | Mac15,4 |
| Motherboard | Mac15,4 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1360
252.9 IPS |
|
|
Image Classification (HP)
|
100% |
7593
1.41 KIPS |
|
|
Image Classification (Q)
|
97% |
7856
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6642
107.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12748
206.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8406
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
103908
121.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105874
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
100% |
10031
795.7 IPS |
|
|
Object Detection (Q)
|
93% |
10784
860.5 IPS |
|
|
Face Detection (SP)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
13902
165.2 IPS |
|
|
Face Detection (Q)
|
100% |
16299
193.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4762
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
59335
457.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
72511
566.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12687
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
155540
199.9 IPS |
|
|
Style Transfer (Q)
|
96% |
142884
184.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3921
144.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21563
796.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27054
999.0 IPS |
|
|
Text Classification (SP)
|
100% |
711
948.8 IPS |
|
|
Text Classification (HP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (Q)
|
93% |
824
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2116
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2751
47.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2767
47.8 IPS |
