Mac Studio (2023)
Geekbench AI Score
14818
Single Precision Score
15747
Half Precision Score
12701
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | unixwizard |
| Upload Date | December 10 2024 02:02 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6971
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
6855
1.27 KIPS |
|
|
Image Classification (Q)
|
97% |
6032
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13740
222.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13514
219.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13476
218.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
83240
97.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
86570
101.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
82058
96.2 IPS |
|
|
Object Detection (SP)
|
100% |
6458
512.3 IPS |
|
|
Object Detection (HP)
|
100% |
6726
533.5 IPS |
|
|
Object Detection (Q)
|
91% |
5861
468.3 IPS |
|
|
Face Detection (SP)
|
100% |
27973
332.4 IPS |
|
|
Face Detection (HP)
|
100% |
28675
340.7 IPS |
|
|
Face Detection (Q)
|
100% |
21072
250.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
34717
267.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34761
267.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10668
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
132972
170.9 IPS |
|
|
Style Transfer (HP)
|
100% |
149570
192.3 IPS |
|
|
Style Transfer (Q)
|
96% |
140590
181.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18593
686.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19418
717.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13700
505.9 IPS |
|
|
Text Classification (SP)
|
100% |
1909
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2847
3.80 KIPS |
|
|
Text Classification (Q)
|
93% |
2979
4.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2110
36.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2168
37.5 IPS |
