Mac Studio (2023)
Geekbench AI Score
18185
Single Precision Score
19684
Half Precision Score
18429
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Jaleelajmal |
| Upload Date | November 05 2025 05:42 PM |
| Views | 9 |
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 | 3.49 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6563
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6441
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6015
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19406
314.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19815
321.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18709
303.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
106935
124.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
114520
133.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
109828
128.6 IPS |
|
|
Object Detection (SP)
|
100% |
6209
492.5 IPS |
|
|
Object Detection (HP)
|
100% |
6299
499.6 IPS |
|
|
Object Detection (Q)
|
92% |
5989
478.1 IPS |
|
|
Face Detection (SP)
|
100% |
32352
384.4 IPS |
|
|
Face Detection (HP)
|
100% |
32892
390.8 IPS |
|
|
Face Detection (Q)
|
100% |
29143
346.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33646
259.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
36027
277.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
33268
259.9 IPS |
|
|
Style Transfer (SP)
|
100% |
196318
252.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203275
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
197338
254.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24449
902.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25553
943.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21571
796.5 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4115
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4067
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3657
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3745
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3638
62.9 IPS |
