Mac Studio (2023)
Geekbench AI Score
4501
Single Precision Score
7365
Half Precision Score
5836
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | zinger |
| Upload Date | November 02 2025 03:00 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1416
263.4 IPS |
|
|
Image Classification (HP)
|
100% |
2293
426.5 IPS |
|
|
Image Classification (Q)
|
96% |
1655
309.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2399
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2912
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18049
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
35863
41.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
25821
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
1825
144.8 IPS |
|
|
Object Detection (HP)
|
97% |
2828
225.2 IPS |
|
|
Object Detection (Q)
|
94% |
2065
164.6 IPS |
|
|
Face Detection (SP)
|
100% |
3757
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6340
75.3 IPS |
|
|
Face Detection (Q)
|
100% |
3550
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6257
48.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11808
91.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8049
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28058
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
47024
60.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36936
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5630
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7060
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5040
186.1 IPS |
|
|
Text Classification (SP)
|
100% |
2511
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4157
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4135
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4520
77.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8152
140.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8117
140.3 IPS |
