Mac Studio (2023)
Geekbench AI Score
13881
Single Precision Score
15078
Half Precision Score
13352
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ladapisti |
| Upload Date | October 31 2024 01:20 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6561
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6753
1.26 KIPS |
|
|
Image Classification (Q)
|
97% |
5879
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11974
194.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11737
190.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11751
190.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
61766
72.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
65162
76.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
60309
70.7 IPS |
|
|
Object Detection (SP)
|
100% |
6199
491.7 IPS |
|
|
Object Detection (HP)
|
100% |
6474
513.5 IPS |
|
|
Object Detection (Q)
|
91% |
5674
453.4 IPS |
|
|
Face Detection (SP)
|
100% |
25711
305.5 IPS |
|
|
Face Detection (HP)
|
100% |
26688
317.1 IPS |
|
|
Face Detection (Q)
|
100% |
18412
218.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
29361
226.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
30174
232.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
25148
196.5 IPS |
|
|
Style Transfer (SP)
|
100% |
115081
147.9 IPS |
|
|
Style Transfer (HP)
|
100% |
129002
165.8 IPS |
|
|
Style Transfer (Q)
|
96% |
120321
155.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20280
748.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21014
775.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17079
630.6 IPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4039
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4027
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2130
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2061
35.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1989
34.4 IPS |
