Mac Studio (2023)
Geekbench AI Score
18137
Single Precision Score
19617
Half Precision Score
18388
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | December 01 2025 04:17 PM |
| Views | 15 |
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 | 3.48 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6573
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6599
1.23 KIPS |
|
|
Image Classification (Q)
|
96% |
5949
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19401
314.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19710
319.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18707
303.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
107034
124.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
114646
133.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
109773
128.6 IPS |
|
|
Object Detection (SP)
|
100% |
6230
494.1 IPS |
|
|
Object Detection (HP)
|
100% |
6278
498.0 IPS |
|
|
Object Detection (Q)
|
92% |
5977
477.1 IPS |
|
|
Face Detection (SP)
|
100% |
32604
387.4 IPS |
|
|
Face Detection (HP)
|
100% |
33290
395.6 IPS |
|
|
Face Detection (Q)
|
100% |
29355
348.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33549
258.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36087
278.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
33196
259.3 IPS |
|
|
Style Transfer (SP)
|
100% |
196310
252.4 IPS |
|
|
Style Transfer (HP)
|
100% |
204283
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
198678
256.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24479
903.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25367
936.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21452
792.1 IPS |
|
|
Text Classification (SP)
|
100% |
2490
3.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4140
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4120
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3462
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3498
60.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3538
61.1 IPS |
