Mac Studio (2023)
Geekbench AI Score
17948
Single Precision Score
19471
Half Precision Score
18358
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Deeen |
| Upload Date | September 01 2025 10:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
6215
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6265
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5797
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19166
310.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19479
315.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18488
299.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
106586
124.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
114030
133.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
109470
128.2 IPS |
|
|
Object Detection (SP)
|
100% |
6231
494.3 IPS |
|
|
Object Detection (HP)
|
100% |
6274
497.7 IPS |
|
|
Object Detection (Q)
|
92% |
5885
469.8 IPS |
|
|
Face Detection (SP)
|
100% |
32121
381.7 IPS |
|
|
Face Detection (HP)
|
100% |
32020
380.5 IPS |
|
|
Face Detection (Q)
|
100% |
28966
344.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33261
256.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35932
276.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
33117
258.7 IPS |
|
|
Style Transfer (SP)
|
100% |
195580
251.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202694
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
196599
253.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24140
891.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25208
930.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21956
810.7 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4160
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4139
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3670
63.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3675
63.5 IPS |
