Mac Studio (2025)
Geekbench AI Score
23552
Single Precision Score
25984
Half Precision Score
24295
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | DaGloom |
| Upload Date | February 11 2026 01:19 PM |
| Views | 22 |
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, 32 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8135
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
8650
1.61 KIPS |
|
|
Image Classification (Q)
|
96% |
7413
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26630
431.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28178
456.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26610
431.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
149261
174.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
162686
189.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
154898
181.4 IPS |
|
|
Object Detection (SP)
|
100% |
7464
592.0 IPS |
|
|
Object Detection (HP)
|
100% |
7536
597.7 IPS |
|
|
Object Detection (Q)
|
92% |
7588
605.7 IPS |
|
|
Face Detection (SP)
|
100% |
42645
506.7 IPS |
|
|
Face Detection (HP)
|
100% |
44665
530.7 IPS |
|
|
Face Detection (Q)
|
100% |
38354
455.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
39772
306.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
43425
334.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
39614
309.4 IPS |
|
|
Style Transfer (SP)
|
100% |
297142
382.0 IPS |
|
|
Style Transfer (HP)
|
100% |
328731
422.6 IPS |
|
|
Style Transfer (Q)
|
96% |
318047
410.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30865
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30088
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26082
963.1 IPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
5023
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4992
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4804
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4873
83.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4912
84.9 IPS |
