Mac Studio (2023)
Geekbench AI Score
16436
Single Precision Score
17713
Half Precision Score
16785
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MarcusBenjamin |
| Upload Date | December 03 2025 01:10 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.59 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3725
692.7 IPS |
|
|
Image Classification (HP)
|
100% |
3831
712.4 IPS |
|
|
Image Classification (Q)
|
96% |
3576
667.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
19107
309.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18953
307.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18603
301.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
132530
154.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
139085
162.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
134333
157.3 IPS |
|
|
Object Detection (SP)
|
100% |
5841
463.3 IPS |
|
|
Object Detection (HP)
|
100% |
5433
430.9 IPS |
|
|
Object Detection (Q)
|
92% |
5783
461.6 IPS |
|
|
Face Detection (SP)
|
100% |
29456
350.0 IPS |
|
|
Face Detection (HP)
|
100% |
31126
369.8 IPS |
|
|
Face Detection (Q)
|
100% |
26734
317.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
31196
240.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
32724
252.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
30108
235.2 IPS |
|
|
Style Transfer (SP)
|
100% |
207370
266.6 IPS |
|
|
Style Transfer (HP)
|
100% |
212641
273.4 IPS |
|
|
Style Transfer (Q)
|
96% |
206365
266.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18297
675.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19810
731.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16067
593.3 IPS |
|
|
Text Classification (SP)
|
100% |
2394
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4012
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4117
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3220
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3127
54.0 IPS |
