Mac Studio (2023)
Geekbench AI Score
4333
Single Precision Score
26675
Half Precision Score
29798
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Rowles66 |
| Upload Date | July 09 2025 10:29 PM |
| Views | 5 |
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% |
1334
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
13953
2.59 KIPS |
|
|
Image Classification (Q)
|
96% |
16275
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19513
316.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24560
398.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18493
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
106149
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105733
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1739
137.9 IPS |
|
|
Object Detection (HP)
|
99% |
15457
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16805
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
33478
397.8 IPS |
|
|
Face Detection (Q)
|
100% |
46360
550.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6142
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87223
672.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
110173
861.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28424
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
207039
266.2 IPS |
|
|
Style Transfer (Q)
|
96% |
193782
250.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5529
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42459
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48620
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3957
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4583
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4021
69.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4047
69.9 IPS |
