Mac Studio (2023)
Geekbench AI Score
18157
Single Precision Score
19582
Half Precision Score
18338
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | zinger |
| Upload Date | November 02 2025 03:02 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.49 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6553
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6464
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
5903
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19540
316.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19605
317.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18628
302.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
106644
124.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
114615
133.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
109997
128.8 IPS |
|
|
Object Detection (SP)
|
100% |
6159
488.5 IPS |
|
|
Object Detection (HP)
|
100% |
6228
494.0 IPS |
|
|
Object Detection (Q)
|
92% |
5936
473.8 IPS |
|
|
Face Detection (SP)
|
100% |
32455
385.6 IPS |
|
|
Face Detection (HP)
|
100% |
32974
391.8 IPS |
|
|
Face Detection (Q)
|
100% |
28901
343.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33428
257.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35946
276.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
33131
258.8 IPS |
|
|
Style Transfer (SP)
|
100% |
195419
251.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203961
262.2 IPS |
|
|
Style Transfer (Q)
|
96% |
196604
253.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24253
895.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25765
951.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21446
791.9 IPS |
|
|
Text Classification (SP)
|
100% |
2501
3.34 KIPS |
|
|
Text Classification (HP)
|
99% |
4162
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4141
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3583
61.9 IPS |
