Mac Studio (2023)
Geekbench AI Score
13490
Single Precision Score
14563
Half Precision Score
11462
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | KeviNW000 |
| Upload Date | November 10 2024 08:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6269
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6522
1.21 KIPS |
|
|
Image Classification (Q)
|
99% |
6472
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12085
195.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11819
191.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
11882
192.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
62102
72.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
65223
76.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
58613
68.6 IPS |
|
|
Object Detection (SP)
|
100% |
6092
483.2 IPS |
|
|
Object Detection (HP)
|
100% |
6478
513.8 IPS |
|
|
Object Detection (Q)
|
91% |
5748
459.3 IPS |
|
|
Face Detection (SP)
|
100% |
25322
300.9 IPS |
|
|
Face Detection (HP)
|
100% |
25968
308.6 IPS |
|
|
Face Detection (Q)
|
100% |
18669
221.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
29069
224.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
30086
231.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
6067
46.9 IPS |
|
|
Style Transfer (SP)
|
100% |
114682
147.4 IPS |
|
|
Style Transfer (HP)
|
100% |
128387
165.0 IPS |
|
|
Style Transfer (Q)
|
100% |
129193
166.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20188
745.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20711
764.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
16556
613.4 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3864
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3851
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1620
28.0 IPS |
