Mac Studio (2025)
Geekbench AI Score
5389
Single Precision Score
8641
Half Precision Score
6782
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | mezorn26 |
| Upload Date | December 23 2025 03:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1649
306.7 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.3 IPS |
|
|
Image Classification (Q)
|
96% |
1863
347.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2831
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3537
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22361
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
40567
47.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
30367
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
2118
168.0 IPS |
|
|
Object Detection (HP)
|
97% |
3215
256.0 IPS |
|
|
Object Detection (Q)
|
94% |
2350
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
4583
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
7624
90.6 IPS |
|
|
Face Detection (Q)
|
100% |
4284
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7802
60.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13822
106.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9693
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37140
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
61943
79.6 IPS |
|
|
Style Transfer (Q)
|
96% |
44601
57.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6376
235.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8824
325.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5602
206.9 IPS |
|
|
Text Classification (SP)
|
100% |
2904
3.88 KIPS |
|
|
Text Classification (HP)
|
99% |
5075
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5023
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5117
88.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8452
146.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8404
145.2 IPS |
