Mac Studio (2023)
Geekbench AI Score
15617
Single Precision Score
16946
Half Precision Score
15138
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tokris |
| Upload Date | February 15 2025 05:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.65 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7045
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7171
1.33 KIPS |
|
|
Image Classification (Q)
|
97% |
6175
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14134
229.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13882
225.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13687
221.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
84472
98.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
88249
103.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
82771
97.0 IPS |
|
|
Object Detection (SP)
|
100% |
6665
528.7 IPS |
|
|
Object Detection (HP)
|
100% |
6960
552.1 IPS |
|
|
Object Detection (Q)
|
91% |
6067
484.8 IPS |
|
|
Face Detection (SP)
|
100% |
28699
341.0 IPS |
|
|
Face Detection (HP)
|
100% |
29895
355.2 IPS |
|
|
Face Detection (Q)
|
100% |
21784
258.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
34327
264.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34854
268.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
29659
231.8 IPS |
|
|
Style Transfer (SP)
|
100% |
137437
176.7 IPS |
|
|
Style Transfer (HP)
|
100% |
155284
199.6 IPS |
|
|
Style Transfer (Q)
|
96% |
144725
186.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20859
770.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21444
791.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17418
643.2 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4057
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4040
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2374
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2263
39.1 IPS |
