Mac Studio (2025)
Geekbench AI Score
23430
Single Precision Score
25947
Half Precision Score
24164
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Stefcolosi |
| Upload Date | February 19 2026 02:02 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
8274
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
8170
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
7599
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26453
428.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
28356
459.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26798
434.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
154397
180.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
159502
186.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
155008
181.6 IPS |
|
|
Object Detection (SP)
|
100% |
7630
605.2 IPS |
|
|
Object Detection (HP)
|
100% |
8210
651.2 IPS |
|
|
Object Detection (Q)
|
92% |
7290
581.9 IPS |
|
|
Face Detection (SP)
|
100% |
42157
500.9 IPS |
|
|
Face Detection (HP)
|
100% |
43397
515.6 IPS |
|
|
Face Detection (Q)
|
100% |
38195
453.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
39722
306.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
43590
335.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
39986
312.3 IPS |
|
|
Style Transfer (SP)
|
100% |
298616
383.9 IPS |
|
|
Style Transfer (HP)
|
100% |
329228
423.2 IPS |
|
|
Style Transfer (Q)
|
96% |
310974
401.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30545
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30497
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26553
980.5 IPS |
|
|
Text Classification (SP)
|
100% |
2790
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5108
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5085
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4539
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4701
81.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4601
79.5 IPS |
