Mac Studio (2025)
Geekbench AI Score
5072
Single Precision Score
30037
Half Precision Score
32417
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Luigi9212 |
| Upload Date | February 04 2026 11:03 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.38 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1539
286.3 IPS |
|
|
Image Classification (HP)
|
100% |
14337
2.67 KIPS |
|
|
Image Classification (Q)
|
97% |
15757
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22052
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
26560
430.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21009
24.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121349
141.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
119979
140.6 IPS |
|
|
Object Detection (SP)
|
100% |
1962
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
18003
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
18464
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
4174
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
37256
442.7 IPS |
|
|
Face Detection (Q)
|
100% |
49736
591.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7227
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
107849
830.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
122579
958.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35597
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
222098
285.5 IPS |
|
|
Style Transfer (Q)
|
96% |
213048
274.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6143
226.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42653
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49160
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2863
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
5172
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
4912
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4850
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4398
75.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4408
76.2 IPS |
