Mac Studio (2023)
Geekbench AI Score
15796
Single Precision Score
16795
Half Precision Score
15864
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Rowles66 |
| Upload Date | July 09 2025 10:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 3.39 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3892
723.7 IPS |
|
|
Image Classification (HP)
|
100% |
4065
755.9 IPS |
|
|
Image Classification (Q)
|
96% |
3975
742.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
18158
294.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17750
287.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17076
276.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
103517
120.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
111090
129.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
102887
120.5 IPS |
|
|
Object Detection (SP)
|
100% |
5504
436.6 IPS |
|
|
Object Detection (HP)
|
100% |
5579
442.5 IPS |
|
|
Object Detection (Q)
|
92% |
5012
400.0 IPS |
|
|
Face Detection (SP)
|
100% |
28391
337.3 IPS |
|
|
Face Detection (HP)
|
100% |
28844
342.7 IPS |
|
|
Face Detection (Q)
|
100% |
25332
301.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
31373
241.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
31513
242.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
31027
242.4 IPS |
|
|
Style Transfer (SP)
|
100% |
190076
244.3 IPS |
|
|
Style Transfer (HP)
|
100% |
188139
241.9 IPS |
|
|
Style Transfer (Q)
|
96% |
187725
242.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19878
734.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19227
709.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16107
594.7 IPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
99% |
3786
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3837
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3164
54.7 IPS |
