Mac Studio (2023)
Geekbench AI Score
13665
Single Precision Score
14753
Half Precision Score
13173
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ladapisti |
| Upload Date | February 06 2025 10:12 AM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
6333
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6506
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
5553
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12047
195.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11571
187.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11656
189.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
61810
72.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
64657
75.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59650
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
5932
470.5 IPS |
|
|
Object Detection (HP)
|
100% |
6299
499.6 IPS |
|
|
Object Detection (Q)
|
91% |
5651
451.5 IPS |
|
|
Face Detection (SP)
|
100% |
25562
303.7 IPS |
|
|
Face Detection (HP)
|
100% |
25378
301.5 IPS |
|
|
Face Detection (Q)
|
100% |
18922
224.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
29146
224.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29153
224.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
24504
191.5 IPS |
|
|
Style Transfer (SP)
|
100% |
114451
147.1 IPS |
|
|
Style Transfer (HP)
|
100% |
128690
165.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119139
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19701
727.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20599
760.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16481
608.5 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3973
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2122
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2041
35.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1995
34.5 IPS |
