Mac Studio (2025)
Geekbench AI Score
23074
Single Precision Score
25039
Half Precision Score
23584
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | glennicolson |
| Upload Date | April 02 2026 07:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 3.77 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7996
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
8000
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7619
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22827
370.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24292
393.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
22364
362.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
107564
125.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
116935
136.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
111789
130.9 IPS |
|
|
Object Detection (SP)
|
100% |
7620
604.4 IPS |
|
|
Object Detection (HP)
|
100% |
7947
630.4 IPS |
|
|
Object Detection (Q)
|
91% |
7678
613.6 IPS |
|
|
Face Detection (SP)
|
100% |
39065
464.2 IPS |
|
|
Face Detection (HP)
|
100% |
38968
463.0 IPS |
|
|
Face Detection (Q)
|
100% |
36401
432.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
37447
288.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
39475
304.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
37046
289.9 IPS |
|
|
Style Transfer (SP)
|
100% |
244504
314.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272319
350.1 IPS |
|
|
Style Transfer (Q)
|
96% |
262885
339.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28259
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
27937
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24170
892.5 IPS |
|
|
Text Classification (SP)
|
99% |
5128
6.84 KIPS |
|
|
Text Classification (HP)
|
100% |
8055
10.8 KIPS |
|
|
Text Classification (Q)
|
92% |
8109
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
5519
95.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5692
98.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5240
90.5 IPS |
