Mac Studio (2025)
Geekbench AI Score
21401
Single Precision Score
23835
Half Precision Score
22262
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | mezorn26 |
| Upload Date | December 23 2025 03:49 PM |
| Views | 5 |
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 | 3.96 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8200
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8728
1.62 KIPS |
|
|
Image Classification (Q)
|
96% |
7529
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23845
386.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
25408
411.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23885
387.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
108220
126.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
118708
138.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
112933
132.3 IPS |
|
|
Object Detection (SP)
|
100% |
7493
594.3 IPS |
|
|
Object Detection (HP)
|
100% |
7738
613.8 IPS |
|
|
Object Detection (Q)
|
92% |
7633
609.3 IPS |
|
|
Face Detection (SP)
|
100% |
37524
445.9 IPS |
|
|
Face Detection (HP)
|
100% |
40692
483.5 IPS |
|
|
Face Detection (Q)
|
100% |
34368
408.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38165
294.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41322
318.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37912
296.1 IPS |
|
|
Style Transfer (SP)
|
100% |
246744
317.2 IPS |
|
|
Style Transfer (HP)
|
100% |
273071
351.0 IPS |
|
|
Style Transfer (Q)
|
96% |
264737
341.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29059
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
28936
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24683
911.4 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5108
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5037
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4185
72.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4282
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4499
77.7 IPS |
