Mac Studio (2025)
Geekbench AI Score
21479
Single Precision Score
23786
Half Precision Score
22058
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 09 2026 01:15 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 28 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8318
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
8637
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
7402
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23676
383.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
25345
410.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23813
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
107527
125.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
117633
137.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
112565
131.8 IPS |
|
|
Object Detection (SP)
|
100% |
7464
592.1 IPS |
|
|
Object Detection (HP)
|
100% |
7612
603.8 IPS |
|
|
Object Detection (Q)
|
92% |
7531
601.2 IPS |
|
|
Face Detection (SP)
|
100% |
37291
443.1 IPS |
|
|
Face Detection (HP)
|
100% |
39934
474.5 IPS |
|
|
Face Detection (Q)
|
100% |
34077
404.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
37698
290.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
40847
314.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
37220
290.7 IPS |
|
|
Style Transfer (SP)
|
100% |
243673
313.2 IPS |
|
|
Style Transfer (HP)
|
100% |
270853
348.2 IPS |
|
|
Style Transfer (Q)
|
96% |
260512
336.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28258
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
28557
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24064
888.6 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5124
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5102
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4650
80.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4575
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4500
77.8 IPS |
