Mac Studio (2025)
Geekbench AI Score
23938
Single Precision Score
26358
Half Precision Score
24667
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | kdlqhe |
| Upload Date | March 17 2026 05:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8108
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
8137
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7749
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26715
433.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28362
459.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26421
428.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
149853
174.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
162097
189.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
154524
181.0 IPS |
|
|
Object Detection (SP)
|
100% |
7627
605.0 IPS |
|
|
Object Detection (HP)
|
100% |
7733
613.4 IPS |
|
|
Object Detection (Q)
|
91% |
7555
603.8 IPS |
|
|
Face Detection (SP)
|
100% |
42199
501.4 IPS |
|
|
Face Detection (HP)
|
100% |
44059
523.5 IPS |
|
|
Face Detection (Q)
|
100% |
40854
485.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38835
299.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42061
324.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
38542
301.6 IPS |
|
|
Style Transfer (SP)
|
100% |
292459
376.0 IPS |
|
|
Style Transfer (HP)
|
100% |
318804
409.8 IPS |
|
|
Style Transfer (Q)
|
96% |
312531
403.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30499
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30859
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25601
945.3 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5164
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5082
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5780
99.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5943
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5450
94.2 IPS |
