Mac Studio (2023)
Geekbench AI Score
4345
Single Precision Score
26025
Half Precision Score
28453
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Rowles66 |
| Upload Date | July 09 2025 07:07 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.45 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
13625
2.53 KIPS |
|
|
Image Classification (Q)
|
96% |
15646
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1646
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19279
312.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23465
380.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18035
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
105952
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105561
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (HP)
|
99% |
15473
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17080
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3532
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
33486
397.9 IPS |
|
|
Face Detection (Q)
|
100% |
44860
533.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6051
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86895
669.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
105921
827.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29856
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203324
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
191832
247.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5161
190.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41584
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48088
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3978
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3744
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4294
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3383
58.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3202
55.3 IPS |
