Mac Studio (2025)
Geekbench AI Score
5340
Single Precision Score
30379
Half Precision Score
33188
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | January 12 2026 06:42 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.03 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1645
305.9 IPS |
|
|
Image Classification (HP)
|
100% |
14939
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
16199
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21968
356.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28288
458.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22412
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
121229
141.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
120404
141.1 IPS |
|
|
Object Detection (SP)
|
100% |
2105
167.0 IPS |
|
|
Object Detection (HP)
|
100% |
18181
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
17203
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
4558
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
38657
459.3 IPS |
|
|
Face Detection (Q)
|
100% |
50365
598.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7660
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
106968
824.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
117557
919.1 IPS |
|
|
Style Transfer (SP)
|
100% |
37070
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
223120
286.8 IPS |
|
|
Style Transfer (Q)
|
96% |
210779
272.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6366
235.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39530
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49344
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
5068
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4987
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4882
84.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5008
86.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5562
96.1 IPS |
