Mac Studio (2025)
Geekbench AI Score
5411
Single Precision Score
30232
Half Precision Score
33538
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Stefcolosi |
| Upload Date | February 19 2026 02:04 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| Model | Mac Studio (2025) |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 32 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1733
322.3 IPS |
|
|
Image Classification (HP)
|
100% |
15636
2.91 KIPS |
|
|
Image Classification (Q)
|
97% |
17149
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22108
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27022
438.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22396
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
120182
140.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
118436
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
2179
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
18299
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
18930
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
4516
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
38382
456.1 IPS |
|
|
Face Detection (Q)
|
100% |
50656
601.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7898
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
101932
785.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
117852
921.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36135
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
218030
280.3 IPS |
|
|
Style Transfer (Q)
|
96% |
212999
274.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6922
255.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38134
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49281
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2768
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5063
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5032
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4829
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5094
87.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5496
95.0 IPS |
