Mac Studio (2025)
Geekbench AI Score
5540
Single Precision Score
31904
Half Precision Score
34972
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | glennicolson |
| Upload Date | April 02 2026 07:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.80 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1585
294.8 IPS |
|
|
Image Classification (HP)
|
100% |
14764
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
16100
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22251
360.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28152
456.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22221
25.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
120982
141.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
119848
140.5 IPS |
|
|
Object Detection (SP)
|
100% |
2058
163.2 IPS |
|
|
Object Detection (HP)
|
100% |
18116
1.44 KIPS |
|
|
Object Detection (Q)
|
89% |
18882
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
4308
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
40108
476.6 IPS |
|
|
Face Detection (Q)
|
100% |
54461
647.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7257
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
108725
837.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
125844
983.4 IPS |
|
|
Style Transfer (SP)
|
100% |
37900
48.7 IPS |
|
|
Style Transfer (HP)
|
100% |
219682
282.4 IPS |
|
|
Style Transfer (Q)
|
96% |
209182
269.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6211
229.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43661
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50471
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
5270
7.03 KIPS |
|
|
Text Classification (HP)
|
99% |
8193
10.9 KIPS |
|
|
Text Classification (Q)
|
93% |
8009
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
4879
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4429
76.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4605
79.6 IPS |
