Mac Studio (2025)
Geekbench AI Score
22919
Single Precision Score
25282
Half Precision Score
23631
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | glennicolson |
| Upload Date | April 07 2026 04:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.05 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7880
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
8036
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7723
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23252
376.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24841
402.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23151
375.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
107378
125.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
117309
136.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
111952
131.1 IPS |
|
|
Object Detection (SP)
|
100% |
7253
575.3 IPS |
|
|
Object Detection (HP)
|
100% |
7597
602.6 IPS |
|
|
Object Detection (Q)
|
91% |
7223
577.3 IPS |
|
|
Face Detection (SP)
|
100% |
39021
463.7 IPS |
|
|
Face Detection (HP)
|
100% |
39818
473.1 IPS |
|
|
Face Detection (Q)
|
100% |
36089
428.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
36823
283.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
38953
300.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
36436
285.1 IPS |
|
|
Style Transfer (SP)
|
100% |
237966
305.9 IPS |
|
|
Style Transfer (HP)
|
100% |
264815
340.4 IPS |
|
|
Style Transfer (Q)
|
96% |
254579
328.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28106
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
28227
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24073
888.9 IPS |
|
|
Text Classification (SP)
|
100% |
5247
7.00 KIPS |
|
|
Text Classification (HP)
|
99% |
8830
11.8 KIPS |
|
|
Text Classification (Q)
|
92% |
8678
11.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
5560
95.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5859
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5373
92.9 IPS |
