Mac Studio (2023)
Geekbench AI Score
4152
Single Precision Score
6728
Half Precision Score
5308
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ladapisti |
| Upload Date | February 06 2025 10:09 AM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2261
420.5 IPS |
|
|
Image Classification (Q)
|
96% |
1661
310.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2956
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12872
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24982
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19070
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
97% |
2722
216.7 IPS |
|
|
Object Detection (Q)
|
94% |
2020
161.0 IPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
5736
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3364
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6263
48.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12347
95.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8146
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24952
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38582
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30256
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5137
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6994
258.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4468
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3982
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4499
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6357
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6370
110.1 IPS |
