Mac Studio (2025)
Geekbench AI Score
23537
Single Precision Score
26140
Half Precision Score
23973
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | January 12 2026 07:13 AM |
| Views | 6 |
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 | 4.02 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8169
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8885
1.65 KIPS |
|
|
Image Classification (Q)
|
96% |
7475
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26703
432.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
28251
458.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26546
430.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
151281
176.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
163638
190.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
156247
183.0 IPS |
|
|
Object Detection (SP)
|
100% |
7911
627.5 IPS |
|
|
Object Detection (HP)
|
100% |
8155
646.9 IPS |
|
|
Object Detection (Q)
|
92% |
7651
610.7 IPS |
|
|
Face Detection (SP)
|
100% |
41858
497.4 IPS |
|
|
Face Detection (HP)
|
100% |
44906
533.6 IPS |
|
|
Face Detection (Q)
|
100% |
38620
458.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
39880
307.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
42860
330.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38608
301.6 IPS |
|
|
Style Transfer (SP)
|
100% |
300533
386.3 IPS |
|
|
Style Transfer (HP)
|
100% |
336321
432.3 IPS |
|
|
Style Transfer (Q)
|
96% |
323924
418.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30943
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31044
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26041
961.6 IPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
5058
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5035
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4423
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4376
75.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4174
72.1 IPS |
